Publications
*Authors contributed equally
Members of the SAYED Systems Group are indicated in boldface
2026
Hossain, Md. Kamrul, Walid Aljoby, Anis Elgabli, Ahmed M. Abdelmoniem, Khaled A. Harras. AdRo-FL: Secure and Informed Client Selection for Federated Learning Under Adversarial Aggregator. IEEE Open Journal of the Computer Society (2026). DOI
Jian Chen, Wenlong Shi, Chengyu Hu, Jianfeng Lu, Ahmed M. Abdelmoniem, Chen Wang. Federated Unlearning Activated Backdoor Attacks. IEEE Transactions on Dependable and Secure Computing (2026). DOI
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). DOI
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, Chen Guihai, Keqiang He, Chen Tian. UDMP: Unified Delay-Driven Multipath Protocol for AI Clusters. IEEE Transactions on Networking (2026). DOI
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 (2026). DOI
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 (2026). DOI
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. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2026). DOI
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). DOI
Ahmed M. Abdelmoniem, Chia-Yen Chiang, Meihui Wang, Yasmin Fathy, Mona Jaber. An Explainable Multimodal Framework for Cyclist Safety Perception in Mixed Traffic Environments. Applied Sciences (2026). DOI
Wai Fong Tam, Songyuan Li, Ahmed M. Abdelmoniem. FedORA: Federated Objective-Resolved Adaptation for Non-Stationary Environments. Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops (2026). DOI
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 (2026). DOI
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 (2026). DOI
2025
Ahmed M. Abdelmoniem, Y. Zhao. Knowledge Routing in Decentralized Learning. IEEE Intelligent Systems (2025). DOI
Qilei Li, Mingliang Gao, Jinyong Chen, Wenzhe Zhai, Gwanggil Jeon, Ahmed M. Abdelmoniem. Generic Representation Learning for Vehicle Association Guided by Foundational Models. IEEE Transactions on Intelligent Transportation Systems (2025). DOI
Gaoyang Liu, Tianlong Xu, Yang Yang, Ahmed M. Abdelmoniem, Chen Wang, Jiangchuan Liu. Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models. IEEE Transactions on Dependable and Secure Computing (2025). DOI
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 (2025). DOI
Chengyuan Huang, Yibo Xiao, Tianfan Zhang, Chao Yang, Dong Zhang, Bingheng Yan, Ahmed M. Abdelmoniem, Gianni Antichi, Xiaoliang Wang, Fu Xiao, Wanchun Dou, Guihai Chen, Hao Yin, Chen Tian. Troubleshooting Programmable Data Planes via Real-Time Table Information Recording. IEEE Transactions on Networking (2025). DOI
Shiladitya Bhattacharjee, Tanupriya Choudhury, Ahmed M. Abdelmoniem, Ketan Kotecha. An Integrated Technique for Securing Large Virtual Machine Migration. Computing (2025). DOI
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. Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security (2025). DOI
Qilei Li, Ahmed M. Abdelmoniem. Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning. ECAI 2025 (2025). DOI
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth. Flashback: Understanding and Mitigating Forgetting in Federated Learning. 3rd International Conference on Federated Learning Technologies and Applications (2025). DOI
Geofrey Owino, Bernard Shibwabo Kasamani, Ahmed M. Abdelmoniem, Edem Wornyo. Domain-Agnostic Causal-Aware Audio Transformer for Infant Cry Classification. 8th International Conference of Computer and Informatics Engineering (2025). DOI
Qiyang Chen, 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 (2025). DOI
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 (2025). DOI
Min Chen, Weizhuo Gao, Chen Wang, Gaoyang Liu, Ahmed M. Abdelmoniem, Kai Peng. From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2025). DOI
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 (2025). DOI
Wenhao Song, Xiangqin Zeng, Ahmed M. Abdelmoniem, Housheng Zhang, Mingliang Gao. Cross-Modality Interaction Network for Medical Image Fusion. IEEE Transactions on Consumer Electronics (2025). DOI
Norah Alballa, Ahmed M. Abdelmoniem, Marco Canini. Analysis and Tuning of Knowledge Distillation for Efficient Collaborative Learning. IEEE International Conference on Distributed Computing Systems Workshops (2025). DOI
S. Sarang, Harsh D. Chothani, Qilei Li, Ahmed M. Abdelmoniem, Arnab K. Paul. Benchmarking Mutual Information-Based Loss Functions in Federated Learning. IEEE International Conference on Distributed Computing Systems Workshops (2025). DOI
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. IEEE International Conference on Distributed Computing Systems Workshops (2025). DOI
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 (2025). DOI
Wai Fong Tam, Qilei Li, Ahmed M. Abdelmoniem. Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments. International Joint Conference on Neural Networks (2025). DOI
Waheed G. Gadallah, B. Bensaou, Ahmed M. Abdelmoniem. CASH: Class-Aware AQM via in-Switch Hysteresis Control for Data Center Networks. IEEE INFOCOM 2025 Workshops (2025). DOI
Gengxiang Chen, Xiaoyi Li, 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 (2025). DOI
2024
Ahmed M. Abdelmoniem, M. Jaber, A. Anwar, Y. Zhang, M. Gao. Towards a Decentralized Collaborative Framework for Scalable Edge AI. Future Internet (2024). DOI
Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, B. Bensaou. Design and Analysis of an Incast Mitigation System. IEEE ITC (2024). DOI
José A. Esquivel, Bradley Aldous, Ahmed M. Abdelmoniem, Ahmad Alhilal, Linlin You. Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices. IEEE 24th International Conference on Software Quality, Reliability, and Security (QRS) (2024). DOI
Amna Arouj, Ahmed M. Abdelmoniem, Ahmad Alhilal, Linlin You, Chen Wang. Resource-Aware Split Federated Learning for Edge Intelligence. IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML) (2024). Link
Bradley Aldous, Ahmed M. Abdelmoniem. Comparative Profiling: Insights Into Latent Diffusion Model Training. Proceedings of the 4th Workshop on Machine Learning and Systems (2024). DOI
Amna Arouj, Ahmed M. Abdelmoniem. Towards Energy-Aware Federated Learning via Collaborative Computing Approach. Computer Communications (2024). DOI Code
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 Joint Conference on Artificial Intelligence (IJCAI) (2024). Link
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 (2024). DOI
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. Proceedings of the International AAAI Conference on Web and Social Media (2024). DOI
Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali R. Butt, Ali Anwar. FLOAT: Federated Learning Optimizations with Automated Tuning. Proceedings of the 19th European Conference on Computer Systems (EuroSys) (2024). DOI Code
Kasra Zaeri, Ahmed M. Abdelmoniem. EMPRN: Reinforcement Learning-Based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters. IEEE International Conference on Communications (2024). DOI
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 (2024). DOI
Shiladitya Bhattacharjee, Tanupriya Choudhury, Ahmed M. Abdelmoniem. Data Privacy and Integrity in Complex Data. In Convergence of Artificial Intelligence and Internet of Things for Industrial Automation (2024). DOI
Shai Lynch, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. Centralised and Decentralised Fraud Detection Approaches in Federated Learning. In Applications of AI for Interdisciplinary Research (2024). DOI
Ho Kuen Lai, Ahmed M. Abdelmoniem, Sukhpal Singh Gill. Federated Learning for the Predicting Household Financial Expenditure. In Applications of AI for Interdisciplinary Research (2024). DOI
Karan Pardeshi, Sukhpal Singh Gill, Ahmed M. Abdelmoniem. Stock Market Price Prediction. In Applications of AI for Interdisciplinary Research (2024). DOI
Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov. Do 5G Networks Achieve the Proclaimed Promises? An Empirical Study Using YouTube Edge Service. IEEE International Conference on Edge Computing and Communications (2024). DOI
Jianyong Wang, Xiangyu Guo, Qilei Li, Ahmed M. Abdelmoniem, Mingliang Gao. SDANet: Scale-Deformation Awareness Network for Crowd Counting. Journal of Electronic Imaging (2024). DOI
Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem. Leveraging Chaos for Enhancing Encryption and Compression in Large Cloud Data Transfers. The Journal of Supercomputing (2024). DOI
2023
Ahmed M. Abdelmoniem, B Bensaou. Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation. IEEE/ACM Transactions on Networking (2023). link
Ahmed M. Abdelmoniem, CY Ho, Pantelis Papageorgiou, M Canini. A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet of Things Journal (2023). Link
Ahmed M. Abdelmoniem, Y M. Abdelmoniem, A Elzanaty A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data. IEEE ICC (2023). Preprint Paper Conference Paper
E Bragion, H Akter, M Kumar, M Xu, Ahmed M. Abdelmoniem, SS Gill. Fortaleza: The emergence of a network hub. Elsevier Internet of Things and Cyber-Physical Systems 3, 272-279 (2023). link
Ahmed M. Abdelmoniem, Atal N. Sahu, Marco Canini, Suhaib Fahmy. REFL: Resource Efficient Federated Learning. ACM EuroSys (2023) link ArXiv
2022
Ahmed M. Abdelmoniem. Towards Efficient and Practical Federated Learning. CrossFL-MLSys (2022) Abstract Poster
Amna Arouj, Ahmed M. Abdelmoniem. Towards Energy-Aware Federated Learning on Battery-Powered Clients,. To Appear in ACM FedEdge-MobiCom (2022) ArXiv
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, and Marco Canini. Empirical analysis of federated learning in heterogeneous environments. ACM EuroMLSys-EuroSys. Paper ArXiv