Ahmed M. Abdelmoniem

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 48

Top Topics

Comprehensive Empirical Study

Machine Learning

Affinity Propagation

Top Venues

EuroMLSys@EuroSys

IEEE Trans. Cloud Comput.

J. Supercomput.

Publications

Ahmed M. Abdelmoniem, Brahim Bensaou
Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters. IEEE Trans. Cloud Comput. 12 (1) (2024)
Jianyong Wang, Xiangyu Guo, Qilei Li, Ahmed M. Abdelmoniem, Mingliang Gao
SDANet: scale-deformation awareness network for crowd counting. J. Electronic Imaging 33 (4) (2024)
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth
Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR (2024)
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. ICWSM (2024)
Bradley Aldous, Ahmed M. Abdelmoniem
Comparative Profiling: Insights Into Latent Diffusion Model Training. EuroMLSys@EuroSys (2024)
Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem
Dimensioning the pending interest table in content-centric networks. Future Gener. Comput. Syst. 152 (2024)
Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. WWW (Companion Volume) (2024)
Ahmed M. Abdelmoniem, Brahim Bensaou
FairQ: Fair and Fast Rate Allocation in Data Centers. CoRR (2024)
Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem
Leveraging chaos for enhancing encryption and compression in large cloud data transfers. J. Supercomput. 80 (9) (2024)
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. CoRR (2024)
Amna Arouj, Ahmed M. Abdelmoniem
Towards Energy-Aware Federated Learning via Collaborative Computing Approach. Comput. Commun. 221 (2024)
Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem
Publisher Correction to: Leveraging chaos for enhancing encryption and compression in large cloud data transfers. J. Supercomput. 80 (9) (2024)
Jian Chen, Yuan Gao, Gaoyang Liu, Ahmed M. Abdelmoniem, Chen Wang
Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning. IEEE Trans. Inf. Forensics Secur. 19 (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. CoRR (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 16 (3) (2024)
Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar
FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys (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 Trans. Cloud Comput. 12 (2) (2024)
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. J. King Saud Univ. Comput. Inf. Sci. 35 (10) (2023)
Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms. CoRR (2023)
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Félix Cuadrado, Blesson Varghese, Omer F. Rana, Schahram Dustdar, Steve Uhlig
AI-based fog and edge computing: A systematic review, taxonomy and future directions. Internet Things 21 (2023)
Eric Bragion, Habiba Akter, Mohit Kumar, Minxian Xu, Ahmed M. Abdelmoniem, Sukhpal Singh Gill
Fortaleza: The emergence of a network hub. CoRR (2023)
Ahmed M. Abdelmoniem
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data. CoRR (2023)
Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction. CoRR (2023)
Moudy Sharaf Alshareef, Mona Jaber, Ahmed M. Abdelmoniem
A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection. CAMAD (2023)
Karan Pardeshi, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach. CoRR (2023)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. 10 (16) (2023)
Ahmed M. Abdelmoniem, Brahim Bensaou
Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation. IEEE/ACM Trans. Netw. 31 (6) (2023)
Zehao Tian, Zixiong Wang, Ahmed M. Abdelmoniem, Gaoyang Liu, Chen Wang
Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Sofia Zahri, Hajar Bennouri, Abdellah Chehri, Ahmed M. Abdelmoniem
Federated Learning for IoT Networks: Enhancing Efficiency and Privacy. WF-IoT (2023)
Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Ahmed Elzanaty
A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data. ICC (2023)
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
REFL: Resource-Efficient Federated Learning. EuroSys (2023)
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Félix Cuadrado, Blesson Varghese, Omer F. Rana, Schahram Dustdar, Steve Uhlig
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions. CoRR (2022)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys (2022)
Amna Arouj, Ahmed M. Abdelmoniem
Towards Energy-Aware Federated Learning on Battery-Powered Clients. CoRR (2022)
Amna Arouj, Ahmed M. Abdelmoniem
Towards energy-aware federated learning on battery-powered clients. FedEdge@MobiCom (2022)
Sameh Abdulah, Walid Atwa, Ahmed M. Abdelmoniem
Active clustering data streams with affinity propagation. ICT Express 8 (2) (2022)
Ahmed M. Abdelmoniem, Marco Canini
DC2: Delay-aware Compression Control for Distributed Machine Learning. INFOCOM (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. NeurIPS (2021)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR (2021)
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. CoRR (2021)
Ahmed M. Abdelmoniem, Marco Canini
Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. EuroMLSys@EuroSys (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. CoRR (2021)
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
Resource-Efficient Federated Learning. CoRR (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. ICDCS (2021)
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. MLSys (2021)
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. AAAI (2020)
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@CoNEXT (2020)
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. CoRR (2019)