Publications

160+ publications at international conferences and journals (including NeurIPS, ICLR, AAAI, KDD, CCS, EuroSys, MLSys, INFOCOM, ICDCS, ToN, IoTJ, TCC, TIFS, TDSC).
For the most up-to-date list and citation counts, please see my GoogleScholar Page. Jump to: Selected · Journals · Conferences & Workshops · Book Chapters · Tutorials & Patents · Preprints · Reports · Thesis

Selected Publications

Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini. ‘‘Query-based Knowledge Transfer for Heterogeneous Learning Environments’’. International Conference on Learning Representations (ICLR), Singapore, 2025. [Paper]

Gaoyang Liu, Xijie Wang, Zixiong Wang, Chen Wang, Ahmed M. Abdelmoniem, Desheng Wang. ‘‘Prototype Surgery: Tailoring Neural Prototypes via Soft Labels for Efficient Machine Unlearning’’. 32nd ACM Conference on Computer and Communications Security (CCS), Taipei, Taiwan, 2025.

Min Chen, Weizhuo Gao, Chen Wang, Gaoyang Liu, Ahmed M. Abdelmoniem, Kai Peng. ‘‘From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation’’. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Toronto, Canada, 2025.

Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Butt, Ali Anwar. ‘‘FLStore: Efficient Federated Learning Storage for non-training workloads’’. Conference on Machine Learning and Systems (MLSys), Santa Clara, USA, 2025.

Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Butt, Ali Anwar. ‘‘FLOAT: Federated Learning Optimizations with Automated Tuning’’. ACM European Conference on Computer Systems (EuroSys), Athens, Greece, 2024. [Paper] [Code]

Amna Arouj, Ahmed M. Abdelmoniem. ‘‘Towards Energy-Aware Federated Learning via Collaborative Computing Approach’’. Computer Communications, Elsevier, 2024. [Paper] [Code]

Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy. ‘‘REFL: Resource-Efficient Federated Learning’’. ACM European Conference on Computer Systems (EuroSys), Rome, Italy, 2023. [Paper] [Code]

Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis. ‘‘Rethinking Gradient Sparsification as Total Error Minimization’’. 35th Conference on Neural Information Processing Systems (NeurIPS), Spotlight (Top 3%), 2021.

Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini. ‘‘An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems’’. Conference on Machine Learning and Systems (MLSys), 2021. [Paper] [Code]

Journals

Zixiong Wang, Lishuai Hou, Gaoyang Liu, Jianfeng Lu, Desheng Wang, Ahmed M. Abdelmoniem, Chen Wang. ‘‘Black-Box Membership Inference Attacks Against Contrastive Learning Via Aggressive Data Augmentations’’. IEEE Transactions on Dependable and Secure Computing (TDSC), 2026.

J. Chen, W. Shi, C. Hu, J. Lu, Ahmed M. Abdelmoniem, C. Wang. ‘‘Federated Unlearning Activated Backdoor Attacks’’. IEEE Transactions on Dependable and Secure Computing (TDSC), 2026.

Chengyuan Huang, Zhengqi Cui, Jun Xu, Zhaochen Zhang, Li Wang, Peirui Cao, Zhongming Ji, Jilei Chen, Dongxu Wang, Shengju Zhang, Lingkun Meng, Ahmed M. Abdelmoniem, Fu Xiao, Wanchun Dou, Guihai Chen, Keqiang He, Chen Tian. ‘‘UDMP: Unified Delay-Driven Multipath Protocol for AI Clusters’’. ACM/IEEE Transactions on Networking (ToN), 2026.

Thippa Reddy Gadekallu, Thien Huynh-The, Abdellah Chehri, Sahar Yousif Mohammed, Hadeel M. Saleh, Pronaya Bhattacharya, Dheeraj Kodati, Praveen Kumar Donta, Md Masuduzzaman, Gokul Yenduri, Ahmed M. Abdelmoniem, Kai Fang, Hailin Feng. ‘‘Agentic AI in Healthcare 5.0: Reference Architecture, Applications, and Challenges’’. IEEE Internet of Things Journal (IoTJ), 2026.

Jyoti Prakash Sahoo, Binayak Kar, Ahmed M. Abdelmoniem, Dimitris Chatzopoulos. ‘‘Choir-IDS: A Federated Learning Framework for Fidelity-Calibrated Explainable Intrusion Detection System for Edge-IoT Networks’’. Information Fusion, Elsevier, 2026.

Qilei Li, Mingliang Gao, Wenzhe Zhai, Wentai Wu, Chen Wang, Ahmed M. Abdelmoniem. ‘‘Federated Learning for Edge Computing Enabled Artificial Intelligence of Things: A Comprehensive Survey’’. Knowledge-Based Systems, Elsevier, 2026.

Ahmad Arsalan, Tariq Umer, Rana Asif Rehman, Ahmed M. Abdelmoniem, Shahid Mumtaz. ‘‘Toward Collaborative Intelligence in Digital Twin-based Federated Deep Reinforcement Learning: Applications, Case Studies and Challenges’’. IEEE Network, 2026.

Jyoti Prakash Sahoo, Binayak Kar, Yi-Leh Wu, Ahmed M. Abdelmoniem, Dimitris Chatzopoulos. ‘‘SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov-Arnold Network Experts for FL-IDS in Edge-IIoT’’. IEEE Open Journal of the Communications Society, 2026.

M. K. Hossain, W. Aljoby, A. Elgabli, Ahmed M. Abdelmoniem, K. A. Harras. ‘‘AdRo-FL: Secure and Informed Client Selection for Federated Learning under Adversarial Aggregator’’. IEEE Open Journal of the Computer Society, 2026.

G. Owino, B. S. Kasamani, Ahmed M. Abdelmoniem, E. Wornyo. ‘‘Federated Primitive-Preserving Audio Transformers for Non-Identifiable Infant Cry Classification’’. IEEE Access, vol. 14, pp. 63644-63660, 2026.

Giridhar Reddy Bojja, Loknath Sai Ambati, Venkata Vinay Anga, Harsha Sammangi, Ahmed M. Abdelmoniem. ‘‘Too Much of a Good Thing: Algorithmic Trading, Price Discovery, and the Efficiency Threshold in Emerging Equity Markets’’. Finance Research Letters, Elsevier, vol. 108, 2026.

Chia-Yen Chiang, Meihui Wang, Yasmin Fathy, Mona Jaber, Ahmed M. Abdelmoniem. ‘‘An Explainable Multimodal Framework for Cyclist Safety Perception in Mixed Traffic Environments’’. Applied Sciences, MDPI, no. 13: 6690, 2026.

Ahmed M. Abdelmoniem, Yuchen Zhao. ‘‘Knowledge Routing for Decentralized Learning’’. IEEE Transactions on Intelligent Systems, 2025.

Qilei Li, Pantelis Papageorgiou, Gaoyang Liu, Mingliang Gao, Linlin You, Chen Wang, Ahmed M. Abdelmoniem. ‘‘Mitigating Malicious Model Fusion in Federated Learning via Confidence-Aware Defense’’. Information Fusion, Elsevier, 2025.

G. Liu, T. Xu, Y. Yang, Ahmed M. Abdelmoniem, C. Wang, J. Liu. ‘‘Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models’’. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025.

Chengyuan Huang, Yibo Xiao, Tianfan Zhang, Chao Yang, Dong Zhang, Bingheng Yan, Ahmed M. Abdelmoniem, Gianni Antichi, Chen Tian, Xiaoliang Wang, Fu Xiao, Wanchun Dou, Guihai Chen, Hao Yin. ‘‘Troubleshooting Programmable Data Planes via Real-Time Table Information Recording’’. ACM/IEEE Transactions on Networking (ToN), 2025.

Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov. ‘‘Unlocking the Power of 4G/5G Mobile Networks: An Empirical Dive into Quality and Energy Efficiency in YouTube Edge Services’’. Computer Networks, Elsevier, vol. 267, 2025.

Qilei Li, Mingliang Gao, Jinyong Chen, Wenzhe Zhai, Ahmed M. Abdelmoniem, Gwanggil Jeon. ‘‘6G-Driven Generic Representation Learning for Vehicle Association Guided by Foundational Models’’. IEEE Transactions on Intelligent Transportation Systems (TITS), 2025.

Guisheng Zhang, Qilei Li, Mingliang Gao, Siyou Guo, Gwanggil Jeon, Ahmed M. Abdelmoniem. ‘‘Space-Frequency and Global-Local Attentive Networks for Sequential Deepfake Detection’’. IEEE Transactions on Computational Social Systems (TCSS), 2025.

Arezoo Ghasemi, Amin Keshavarzi, Ahmed M. Abdelmoniem, Omid Reza Nejati, Tajedin Derikvand. ‘‘Edge Intelligence for Intelligent Transport Systems: Approaches, Challenges, and Future Directions’’. Expert Systems with Applications, Elsevier, 2025.

Shiladitya Bhattacharjee, Tanupriya Choudhury, Ahmed M. Abdelmoniem, Ketan Kotecha. ‘‘An Integrated Technique for Securing Large Virtual Machine Migration’’. Computing, Springer, 2025.

Gengxiang Chen, Linlin You, Ahmed M. Abdelmoniem, Yan Zhang, Chau Yuen. ‘‘A Data Poisoning Resistible and Privacy Protection Federated Learning Mechanism for Ubiquitous IoT’’. IEEE Internet of Things Journal (IoTJ), 2024.

Qiyang Chen, Han Li, Linlin You, Haohao Qu, Ahmed M. Abdelmoniem, Chau Yuen. ‘‘AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction with Biased and Isolated Data’’. IEEE Transactions on Big Data (TBD), 2024.

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters’’. IEEE Transactions on Cloud Computing (TCC), 2024.

Yuchao Zhang, Haoqiang Huang, Ahmed M. Abdelmoniem, Gaoxiong Zeng, Chenyue Zheng, Xirong Que, Wendong Wang, Ke Xu. ‘‘FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network’’. IEEE Transactions on Cloud Computing (TCC), 2024.

Jian Chen, Yuan Gao, Gaoyang Liu, Ahmed M. Abdelmoniem, Chen Wang. ‘‘Manipulating Pre-trained Encoder for Targeted Poisoning Attacks in Contrastive Learning’’. IEEE Transactions on Information Forensics and Security (TIFS), 2024.

Chengyuan Huang, Tianfan Zhang, Li Wang, Yibo Xiao, Chao Yang, Chen Tian, Xiaoliang Wang, Dong Zhang, Bingheng Yan, Ahmed M. Abdelmoniem, Wanchun Dou, Guihai Chen. ‘‘MpScope: Enabling Multi-pipeline Monitoring Inside a Switch’’. Computer Networks, Elsevier, 2024.

Ahmed M. Abdelmoniem, Mona Jaber, Ali Anwar, Yuchao Zhang, Mingliang Gao. ‘‘Towards a Decentralized Collaborative Framework for Scalable Edge AI’’. Future Internet, MDPI, 2024.

Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem. ‘‘Dimensioning the Pending Interest Table in Content-Centric Networks’’. Future Generation Computer Systems (FGCS), Elsevier, vol. 152, pp. 179-192, 2024.

Wenhao Song, Xiangqin Zeng, Ahmed M. Abdelmoniem, Housheng Zhang, Mingliang Gao. ‘‘Cross-Modality Interaction Network for Medical Image Fusion’’. IEEE Transactions on Consumer Electronics, 2024.

Jianyong Wang, Xiangyu Guo, Qilei Li, Ahmed M. Abdelmoniem, Mingliang Gao. ‘‘SDANet: Scale-Deformation Awareness Network for Crowd Counting’’. Journal of Electronic Imaging, 2024.

Amna Arouj, Ahmed M. Abdelmoniem. ‘‘Towards Energy-Aware Federated Learning via Collaborative Computing Approach’’. Computer Communications, Elsevier, 2024.

Hadeel Alrubayyi, Moudy Sharaf Alshareef, Zunaira Nadeem, Ahmed M. Abdelmoniem, Mona Jaber. ‘‘Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications’’. Future Internet, MDPI, 2024.

Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem. ‘‘Leveraging Chaos for Enhancing Encryption and Compression in Large Cloud Data Transfers’’. Journal of Supercomputing, Springer, 2024.

Ahmed M. Abdelmoniem, Sameh Abdulah, Walid Atwa. ‘‘A Novel Approach to Translate Structural Aggregation Queries to MapReduce Code’’. International Journal of Computer Applications, vol. 186, no. 33, pp. 1-10, 2024.

Z. Tian, Z. Wang, Ahmed M. Abdelmoniem, G. Liu, C. Wang. ‘‘Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary’’. IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 4116-4127, 2023.

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation’’. ACM/IEEE Transactions on Networking (ToN), 2023.

Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini. ‘‘A Comprehensive Empirical Study of Heterogeneity in Federated Learning’’. IEEE Internet of Things Journal (IoTJ), 2023. [ArXiv]

Nauman Khan, Rosli bin Salleh, Zahid Khan, Anis Koubaa, Mosab Hamdan, Ahmed M. Abdelmoniem. ‘‘Ensuring Reliable Network Operations and Maintenance: The Role of PMRF for Switch Maintenance and Upgrades in SDN’’. Journal of King Saud University - Computer and Information Sciences, Elsevier, 2023.

Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem. ‘‘A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction’’. Journal of Economy and Technology, Elsevier, 2023.

Eric Bragion, Habiba Akter, Mohit Kumar, Minxian Xu, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. ‘‘Fortaleza: The Emergence of a Network Hub’’. Internet of Things and Cyber-Physical Systems, vol. 3, pp. 272-279, 2023.

Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel N. Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Felix Cuadrado, Blesson Varghese, Omer Rana, Schahram Dustdar, Steve Uhlig. ‘‘AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions’’. Internet of Things, Elsevier, 2022.

Sameh Abdulah, Walid Atwa, Ahmed M. Abdelmoniem. ‘‘Active Clustering Data Streams with Affinity Propagation’’. ICT Express, vol. 8, no. 2, pp. 276-282, 2022.

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks’’. ACM/IEEE Transactions on Networking (ToN), 2021.

Jiaqing Dong, Chen Tian, Ahmed M. Abdelmoniem, Huaping Zhou, Bo Bai, Hao Yin, Gong Zhang. ‘‘Uranus: Congestion-proportionality among Slices based on Weighted Virtual Congestion Control’’. Computer Networks, Elsevier, 2018.

Ahmed M. Abdelmoniem, Brahim Bensaou, Amuda James Abu. ‘‘Mitigating Incast-TCP Congestion in Data Centers with SDN’’. Annals of Telecommunications, Springer, Special Issue on Cloud Communications and Networking, 2017. PDF

Ahmed M. Abdelmoniem, Hosny M. Ibrahim, Marghny H. Mohamed, Abdel-Rahman Hedar. ‘‘Ant Colony and Load Balancing Optimizations for AODV Routing Protocol’’. International Journal of Sensor Networks and Data Communications, vol. 1, 2011. PDF

Conferences and Workshops

Songyuan Li, Ahmed M. Abdelmoniem, Shiqiang Wang. ‘‘ProgRouter: Online Progress-Guided Orchestration for Multi-Agent LLM Workflows under Quality-Cost Tradeoffs’’. To appear in Conference on Empirical Methods in Natural Language Processing (EMNLP), Budapest, Hungary, 2026.

Tianlong Xu, Zixiong Wang, Gaoyang Liu, Jian Chen, Ahmed M. Abdelmoniem, Chen Wang. ‘‘Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space’’. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Jeju, Korea, 2026.

Amir Hossein Shahdadian, Ahmed M. Abdelmoniem, Mahdi Taheri, Samira Nazari, Christian Herglotz. ‘‘HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning’’. IEEE World Congress on SERVICES - IEEE EDGE Conference, Sydney, Australia, 2026. Best Student Paper Award

Wai Fong Tam, Songyuan Li, Ahmed M. Abdelmoniem. ‘‘FedORA: Federated Objective-Resolved Adaptation for Non-Stationary Environments’’. ACM EdgeSys Workshop at ACM MobiSys, Cambridge, UK, 2026.

Mona Jaber, Abdellah Chehri, Ahmed M. Abdelmoniem, Jinwei Liu. ‘‘Safety and Sustainability in Intelligent Transportation Systems: An IoT/AI Approach’’. To appear in IEEE World Forum on Public Safety Technology (WF-PST), Colorado, USA, 2026.

Asadullah Tariq, Mohamed Adel Serhani, Ahmed M. Abdelmoniem, Irfan Ud Din, Ikbal Taleb. ‘‘FairMoE-FL: A Communication-Efficient and Fair Federated Mixture-of-Experts Framework’’. IEEE International Conference on Communications (ICC), Glasgow, UK, 2026.

Waheed G. Gadallah, Brahim Bensaou, Ahmed M. Abdelmoniem. ‘‘R-CASH: Receiver-assisted Class-aware AQM via in-Switch Hysteresis Control for Data Center Networks’’. IEEE International Conference on Communications (ICC), Glasgow, UK, 2026.

Geofrey Owino, Bernard Shibwabo Kasamani, Ahmed M. Abdelmoniem, Edem Wornyo. ‘‘Federated, Causal-aware Audio Transformer for Cross-site Infant-cry Paralinguistic Classification’’. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026.

G. Owino, B. S. Kasamani, Ahmed M. Abdelmoniem, E. Wornyo. ‘‘Federated Causal-Aware Audio Transformer for Cross-Site Infant Cry Paralinguistic Classification’’. 8th International Conference on Natural Language Processing (ICNLP), Xi’an, China, 2026.

Qilei Li, Ahmed M. Abdelmoniem. ‘‘Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning’’. 28th European Conference on Artificial Intelligence (ECAI), Bologna, Italy, 2025.

M. Aljahdali, Ahmed M. Abdelmoniem, M. Canini, S. Horváth. ‘‘Flashback: Understanding and Mitigating Forgetting in Federated Learning’’. 3rd IEEE International Conference on Federated Learning Technologies and Applications (FLTA), 2025.

Bradley Aldous, Ahmed M. Abdelmoniem. ‘‘Split Fine-Tuning of BERT-Based Music Models in the Edge-Cloud Continuum: An Empirical Analysis’’. IEEE International Conference on High Performance Computing and Communications (HPCC), UK, 2025.

Wai Fong Tam, Qilei Li, Ahmed M. Abdelmoniem. ‘‘Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments’’. IEEE International Joint Conference on Neural Networks (IJCNN), Italy, 2025.

Waheed Gadallah, Brahim Bensaou, Ahmed M. Abdelmoniem. ‘‘CASH: Class-aware AQM via in-Switch Hysteresis Control for Data Center Networks’’. IEEE INFOCOM - ICCN Workshop, London, UK, 2025.

Norah Alballa, Ahmed M. Abdelmoniem, Marco Canini. ‘‘Analysis and Tuning of Knowledge Distillation for Efficient Collaborative Learning’’. IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 2025.

Sarang S, Harsh D. Chothani, Qilei Li, Ahmed M. Abdelmoniem, Arnab Paul. ‘‘Benchmarking Mutual Information-based Loss Functions in Federated Learning’’. FedEdgeAI Workshop at IEEE ICDCS, Glasgow, UK, 2025.

Ahmad Arsalan, Wai Fong Tam, Tariq Umer, Rana Asif Rehman, Ahmed M. Abdelmoniem. ‘‘Decentralized Intelligence: A Digital Twin-Assisted Hierarchical Federated Deep Reinforcement Learning Framework for Resource Optimization’’. FedEdgeAI Workshop at IEEE ICDCS, Glasgow, UK, 2025.

Geofrey Owino, Bernard Shibwabo Kasamani, Ahmed M. Abdelmoniem, Edem Wornyo. ‘‘Domain Agnostic Causal-Aware Hierarchical Audio Transformer for Infant Cry Paralinguistics Classification’’. 8th IEEE International Conference of Computer and Informatics Engineering (IC2IE), Depok, Indonesia, 2025.

Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro. ‘‘Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse’’. AAAI International Conference on Web and Social Media (ICWSM), 2024.

Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You. ‘‘Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning’’. ACM Web Conference (WWW), 2024.

Jose A. Esquivel, Bradley Aldous, Ahmed M. Abdelmoniem, Ahmad Hilal, Linlin You. ‘‘Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices’’. 24th IEEE International Conference on Software Quality, Reliability and Security (QRS), Cambridge, UK, 2024.

Shaoyuan Chen, Linlin You, Rui Liu, Shuo Yu, Ahmed M. Abdelmoniem. ‘‘Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-constrained IoT Clients’’. International Workshop on Federated Learning at IJCAI, Korea, 2024. Best Student Paper Award

Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov. ‘‘Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service’’. IEEE EDGE, Shenzhen, China, 2024.

Kasra Zaeri, Ahmed M. Abdelmoniem. ‘‘EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters’’. IEEE International Conference on Communications (ICC), Denver, CO, USA, 2024.

Bradley Aldous, Ahmed M. Abdelmoniem. ‘‘Comparative Profiling: Insights into Latent Diffusion Model Training’’. ACM EuroMLSys Workshop at EuroSys, 2024.

Amna Arouj, Ahmed M. Abdelmoniem, Ahmad Hilal, Linlin You, Chen Wang. ‘‘Resource-Aware Split Federated Learning for Edge Intelligence’’. 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML) at CPS-IoT Week, Hong Kong, 2024.

Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Brahim Bensaou. ‘‘Design and Analysis of an Incast Mitigation System’’. IEEE International Telecommunications Conference (ITC-Egypt), Cairo, Egypt, 2024.

Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Ahmed Elzanaty. ‘‘A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data’’. IEEE International Conference on Communications (ICC), Rome, Italy, 2023. [Detailed Paper] [Conference Paper] [Slides]

Abdellah Chehri, Ahmed M. Abdelmoniem, Muhammad Zeeshan Shakir. ‘‘Machine Learning Classification of Hermite Gaussian Beams for 5G and Beyond Free-Space Optical Backhaul Links’’. IEEE Global Communications Conference (GlobeCom), Kuala Lumpur, Malaysia, 2023.

Tianfan Zhang, Huaping Zhou, Chengyuan Huang, Chen Tian, Wei Zhang, Xiaoliang Wang, Yi Wang, Ahmed M. Abdelmoniem, Matthew Tan, Wanchun Dou, Guihai Chen. ‘‘Achieving Zero-copy Serialization for Datacenter RPC’’. IEEE International Performance Computing and Communications Conference (IPCCC), Anaheim, CA, USA, 2023.

Moudy Alshareef, Mona Jaber, Ahmed M. Abdelmoniem. ‘‘A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection’’. IEEE CAMAD, Edinburgh, UK, 2023.

Sofia Zahri, Hajar Bennouri, Abdellah Chehri, Ahmed M. Abdelmoniem. ‘‘Federated Learning for IoT Networks: Enhancing Efficiency and Privacy’’. IEEE World Forum on Internet of Things (WF-IoT), Portugal, 2023.

Ahmed M. Abdelmoniem. ‘‘REFL: Resource Efficient Federated Learning’’. Fifth UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK), 2023. [Abstract]

Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy. ‘‘Resource Efficient Federated Learning’’. ICML Workshop on Federated Learning and Analytics in Practice, 2023.

Amna Arouj, Ahmed M. Abdelmoniem. ‘‘Towards Energy-Aware Federated Learning on Battery-Powered Clients’’. ACM FedEdge Workshop at ACM MobiCom, 2022.

Ahmed M. Abdelmoniem. ‘‘Towards Efficient and Practical Federated Learning’’. Workshop on Cross-Community Federated Learning (CrossFL) at MLSys, 2022.

Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini. ‘‘Empirical Analysis of Federated Learning in Heterogeneous Environments’’. 2nd European Workshop on Machine Learning and Systems (EuroMLSys) at ACM EuroSys, 2022.

Kelvin H. T. Chiu, Jason Min Wang, Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘A Two-tiered Caching Scheme for Information-Centric Networks’’. IEEE International Conference on High Performance Switching and Routing (HPSR), Paris, France, 2021.

Ahmed M. Abdelmoniem, Marco Canini. ‘‘DC2: Delay-aware Compression Control for Distributed Machine Learning’’. IEEE International Conference on Computer Communications (INFOCOM), 2021.

Ahmed M. Abdelmoniem, Marco Canini. ‘‘Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization’’. 1st Workshop on Machine Learning and Systems (EuroMLSys) at ACM EuroSys, 2021.

Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis. ‘‘GRACE: A Compressed Communication Framework for Distributed Machine Learning’’. IEEE International Conference on Distributed Computing Systems (ICDCS), 2021.

Rishikesh R. Gajjala*, Shashwat Banchhor*, Ahmed M. Abdelmoniem*, Aritra Dutta, Marco Canini, Panos Kalnis. ‘‘Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning’’. DistributedML Workshop at ACM CoNEXT, 2020.

Ahmed M. Abdelmoniem, Brahim Bensaou, Hengky Susanto. ‘‘HWatch: Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch’’. 49th International Conference on Parallel Processing (ICPP), 2020. PDF

Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis. ‘‘On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning’’. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou, Hengky Susanto. ‘‘Taming Latency in Data Center Networks via Active Congestion-Probing’’. IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, Texas, USA, 2019. PDF

Hengky Susanto, Ahmed M. Abdelmoniem, Benyuan Liu, Honggang Zhang, Don Towsley. ‘‘A Near-Optimal Multi-Faced Job Scheduler for Datacenter Workloads’’. IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, Texas, USA, 2019. PDF

Hengky Susanto, Ahmed M. Abdelmoniem, Hao Jin, Brahim Bensaou. ‘‘Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks’’. IEEE International Conference on Communications (ICC), Shanghai, China, 2019. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Hysteresis-based Active Queue Management for TCP Traffic in Data Centers’’. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019. PDF

Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Brahim Bensaou. ‘‘On Network Systems Design: Pushing the Performance Envelope via FPGA Prototyping’’. IEEE Recent Trends in Computer Engineering Conference (ITCE), Aswan, Egypt, 2019.

Ahmed M. Abdelmoniem, Brahim Bensaou, Victor Barsoum. ‘‘IncastGuard: An Efficient TCP-Incast Congestion Effects Mitigation Scheme for Data Center Network’’. IEEE Global Communications Conference (GlobeCom), UAE, 2018.

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism’’. IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, USA, 2018. PDF

Wenwen Fu, Tao Li, Ahmed M. Abdelmoniem, Zhigang Sun. ‘‘STRIDE: Single-Trip-time based Reliable Data Transport Protocol for the Reconfigurable Cloud’’. Accepted (then withdrawn due to company policy) in IEEE GlobeCom, UAE, 2018. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Enforcing Transport-Agnostic Congestion Control via SDN in Data Centers’’. IEEE Conference on Local Computer Networks (LCN), Singapore, 2017. PDF

Abadhan S. Sabyasachi, H M Dipu Kabir, Ahmed M. Abdelmoniem, Subrota K. Mondal. ‘‘A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market’’. IEEE Symposium on Reliable Distributed Systems (SRDS), Hong Kong, 2017. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou, Amuda James Abu. ‘‘SICC: SDN-based Incast Congestion Control for Data Centers’’. IEEE International Conference on Communications (ICC), Paris, France, 2017. PDF

Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem. ‘‘Inferring and Controlling Congestion in CCN via the Pending Interest Table Occupancy’’. 41st IEEE Conference on Local Computer Networks (LCN), Dubai, UAE, 2016. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou, Amuda James Abu. ‘‘HyGenICC: Hypervisor-based Generic IP Congestion Control for Virtualized Data Centers’’. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016. PDF

Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem. ‘‘A Markov Model of CCN Pending Interest Table Occupancy with Interest Timeout and Retries’’. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Efficient Switch-Assisted Congestion Control for Data Centers: an Implementation and Evaluation’’. IEEE International Performance Computing and Communications Conference (IPCCC), Nanjing, China, 2015. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers’’. IEEE Global Communications Conference (GlobeCom), San Diego, USA, 2015. PDF

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Reconciling Mice and Elephants in Data Center Networks’’. IEEE International Conference on Cloud Networking (CloudNet), Niagara Falls, Canada, 2015. PDF

Ahmed M. Abdelmoniem, Hosny M. Ibrahim, Marghny H. Mohamed, Abdel-Rahman Hedar. ‘‘An Ant Colony Optimization Algorithm for the Mobile Ad Hoc Network Routing Problem based on AODV Protocol’’. 10th IEEE International Conference on Intelligent Systems Design and Applications (ISDA), Cairo, Egypt, 2010. PDF

Book Chapters

Mujtaba Ali Malik, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. ‘‘Vertical Federated Learning with Data-space Heterogeneity’’. In Modern Computing Principles and Paradigms, Taylor & Francis, 2026.

Diba Hadji Kazemi, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. ‘‘Privacy Preserving and Secure Federated Transfer Learning for Industry 5.0’’. In Modern Computing Principles and Paradigms, Taylor & Francis, 2026.

Ho Kuen Lai, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. ‘‘Federated Learning for the Predicting Household Financial Expenditure’’. In Applications of AI for Interdisciplinary Research, Taylor & Francis, 2024.

Shai Lynch, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. ‘‘Centralised and Decentralised Fraud Detection Approaches in Federated Learning’’. In Applications of AI for Interdisciplinary Research, Taylor & Francis, 2024.

Shiladitya Bhattacharjee, Tanupriya Choudhury, Ahmed M. Abdelmoniem. ‘‘Data Privacy and Integrity in Complex Data: An Advanced and Secure Case-based Reasoning Approach’’. In Convergence of Artificial Intelligence and Internet of Things for Industrial Automation, Taylor & Francis, 2024.

Mousumi Hota, Ahmed M. Abdelmoniem, Minxian Xu, Sukhpal Singh Gill. ‘‘Leveraging Cloud-Native Microservices Architecture for High-Performance Real-Time Intra-Day Trading: A Tutorial’’. In 6G Enabled Fog Computing in IoT: Applications and Opportunities, Springer, 2024.

Sanskar Tewatia, Ankit Anil Patel, Ahmed M. Abdelmoniem, Minxian Xu, Kamalpreet Kaur, Mohit Kumar, Deepraj Chowdhury, Adarsh Kumar, Manmeet Singh, Sukhpal Singh Gill. ‘‘GPU Based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions’’. In 6G Enabled Fog Computing in IoT: Applications and Opportunities, Springer, 2024.

Tutorials and Patents

Bing Luo, Shiqiang Wang, Ahmed M. Abdelmoniem. ‘‘Advancing Federated Learning in Practice: From Theory to Real-World Edge Applications’’. Tutorial at IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Barcelona, Spain, 2025.

Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini. ‘‘Efficient Gradient Compression for Fast Distributed Training’’. Patent WO2022003562A1.

Preprints

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘FairQ: Fair and Fast Rate Allocation in Data Centers’’. arXiv:2401.04850, 2024.

Ahmed M. Abdelmoniem. ‘‘Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data’’. arXiv:2306.10848, 2023.

Ahmed M. Abdelmoniem, Brahim Bensaou. ‘‘Design and Implementation of Fair Congestion Control for Data Centers Networks’’. arXiv:2012.00339, 2020.

Technical Reports

Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis. ‘‘Compressed Communication for Distributed Deep Learning: Survey and Quantitative Evaluation’’. Tech. Report, KAUST. LINK

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘Switch-based Schemes for TCP Performance Enhancement in Data Centers: Design, Synthesis and Evaluation’’. Tech. Report. HKUST-CS17-03. PDF

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘End-host Timely TCP Loss Recovery via ACK Retransmission in Data Centres’’. Tech. Report. HKUST-CS17-02. PDF

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘Control Theory Based Hysteresis Switch for Congestion Control in Data Centers’’. Tech. Report. HKUST-CS17-01. PDF

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘SDN-based Generic Congestion Control Mechanism for Data Centers: Implementation and Evaluation’’. Tech. Report. HKUST-CS16-02. PDF

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘SICC: SDN-based Incast Congestion Control Framework for Data Centers: Implementation and Evaluation’’. Tech. Report. HKUST-CS16-01. PDF

Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘Generic Hypervisor-based Congestion Control for Data Centers: Implementation and Evaluation’’. Tech. Report. HKUST-CS15-03. PDF

Thesis

Ahmed M. Abdelmoniem. ‘‘On Improving the Performance of TCP Applications in Public Cloud Networks’’. Ph.D. Thesis, HKUST, Hong Kong, 2017. LINK

Ahmed M. Abdelmoniem. ‘‘Routing Optimization of Mobile Ad-Hoc Networks Based on Ant Colony Algorithms’’. M.Sc. Thesis, Assiut University, Egypt, 2012. LINK