Publications
*Authors contributed equally
Members of the SAYED Systems Group are indicated in boldface
2025
Ahmed M. Abdelmoniem, Y. Zhao. Knowledge Routing in Decentralized Learning. IEEE Intelligent Systems (2025). link
2024
Ahmed M. Abdelmoniem, M. Jaber, A. Anwar, Y. Zhang, M. Gao. Towards a Decentralized Collaborative Framework for Scalable Edge AI. Future Internet (2024). Link
Ahmed M. Abdelmoniem, Y M. Abdelmoniem, B. Bensaou. Design and Analysis of an Incast Mitigation System. IEEE ITC (2024). Link
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). Link
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). Link
Amna Arouj, Ahmed M. Abdelmoniem. Towards Energy-Aware Federated Learning via Collaborative Computing Approach. Elsevier Computer Communications (2024). Link 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 (TIFS) (2024). Link
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 (ICWSM). Link
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 Nineteenth European Conference on Computer Systems (EuroSys) (2024). Link Code
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, P 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