Ahmed M. Abdelmoniem

90 papers A* 5A 5B 1C 1Journal 61Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities.
CoRR
Pranav M. R, Jayant Chandwani, Ahmed M. Abdelmoniem, Arnab K. Paul
2026 — conf
Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space.
KDD (1)
Tianlong Xu, Zixiong Wang, Gaoyang Liu, Jian Chen, Ahmed M. Abdelmoniem, Chen Wang
2026 J jnl
Choir-IDS: A federated learning framework for fidelity-calibrated explainable intrusion detection system for edge-IoT networks.
Inf. Fusion
Jyoti Prakash Sahoo, Binayak Kar, Ahmed M. Abdelmoniem, Dimitris Chatzopoulos
2026 J jnl
DLRMamba: Distilling Low-Rank Mamba for Edge Multispectral Fusion Object Detection.
CoRR
Qianqian Zhang, Leon Tabaro, Ahmed M. Abdelmoniem, Junshe An
2026 J jnl
DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices.
CoRR
Songyuan Li, Jia Hu, Ahmed M. Abdelmoniem, Geyong Min, Haojun Huang, Jiwei Huang
2026 J jnl
Mitigating malicious model fusion in federated learning via confidence-aware defense.
Inf. Fusion
Qilei Li, Pantelis Papageorgiou, Gaoyang Liu, Mingliang Gao, Linlin You, Chen Wang, Ahmed M. Abdelmoniem
2026 J jnl
SMoQKE-IDS: Sparse Mixture of Quantum Kolmogorov-Arnold Network Experts for FL-IDS in Edge-IIoT.
IEEE Open J. Commun. Soc.
Jyoti Prakash Sahoo, Binayak Kar, Yi-Leh Wu, Ahmed M. Abdelmoniem, Dimitris Chatzopoulos
2026 J jnl
Small Target Detection Based on Mask-Enhanced Attention Fusion of Visible and Infrared Remote Sensing Images.
CoRR
Qianqian Zhang, Xiaolong Jia, Ahmed M. Abdelmoniem, Li Zhou, Junshe An
2026 J jnl
UDMP: Unified Delay-Driven Multipath Protocol for AI Clusters.
IEEE Trans. Netw.
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
2025 J jnl
A Data Poisoning Resistible and Privacy Protection Federated-Learning Mechanism for Ubiquitous IoT.
IEEE Internet Things J.
Gengxiang Chen, Xiaoyi Li, Linlin You, Ahmed M. Abdelmoniem, Yan Zhang, Chau Yuen
2025 J jnl
A Novel Approach to Translate Structural Aggregation Queries to MapReduce Code.
CoRR
Ahmed M. Abdelmoniem, Sameh Abdulah, Walid Atwa
2025 J jnl
AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data.
IEEE Trans. Big Data
Qiyang Chen, Linlin You, Haohao Qu, Ahmed M. Abdelmoniem, Chau Yuen
2025 J jnl
AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator.
CoRR
Md. Kamrul Hossain, Walid A. Y. Aljoby, Anis Elgabli, Ahmed M. Abdelmoniem, Khaled A. Harras
2025 J jnl
An integrated technique for securing large virtual machine migration.
Computing
Shiladitya Bhattacharjee, Tanupriya Choudhury, Ahmed M. Abdelmoniem, Ketan Kotecha
2025 J jnl
Benchmarking Mutual Information-based Loss Functions in Federated Learning.
CoRR
Sarang S, Harsh D. Chothani, Qilei Li, Ahmed M. Abdelmoniem, Arnab K. Paul
2025 — conf
CASH: Class-aware AQM via in-Switch Hysteresis Control for Data Center Networks.
INFOCOM WKSHPS
Waheed G. Gadallah, Brahim Bensaou, Ahmed M. Abdelmoniem
2025 J jnl
Cross-Modality Interaction Network for Medical Image Fusion.
IEEE Trans. Consumer Electron.
Wenhao Song, Xiangqin Zeng, Ahmed M. Abdelmoniem, Housheng Zhang, Mingliang Gao
2025 A conf
Discovering Latent Knowledge Prototypes for Heterogeneous Federated Learning.
ECAI
Qilei Li, Ahmed M. Abdelmoniem
2025 J jnl
Domain-Agnostic Causal-Aware Audio Transformer for Infant Cry Classification.
CoRR
Geofrey Owino, Bernard Shibwabo Kasamani, Ahmed M. Abdelmoniem, Edem Wornyo
2025 J jnl
Edge Intelligence for Intelligent Transport Systems: Approaches, challenges, and future directions.
Expert Syst. Appl.
Arezoo Ghasemi, Amin Keshavarzi, Ahmed M. Abdelmoniem, Omid Reza Nejati, Tajedin Derikvand
2025 — conf
FLStore: Efficient Federated Learning Storage for non-training workloads.
MLSys
Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Raza Butt, Ali Anwar
2025 J jnl
FLStore: Efficient Federated Learning Storage for non-training workloads.
CoRR
Ahmad Faraz Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Raza Butt, Ali Anwar
2025 — conf
From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation.
KDD (2)
Min Chen, Weizhuo Gao, Chen Wang, Gaoyang Liu, Ahmed M. Abdelmoniem, Kai Peng
2025 J jnl
Generic Representation Learning for Vehicle Association Guided by Foundational Models.
IEEE Trans. Intell. Transp. Syst.
Qilei Li, Mingliang Gao, Jinyong Chen, Wenzhe Zhai, Gwanggil Jeon, Ahmed M. Abdelmoniem
2025 B conf
Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments.
IJCNN
Wai Fong Tam, Qilei Li, Ahmed M. Abdelmoniem
2025 J jnl
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data.
CoRR
Wentai Wu, Ligang He, Saiqin Long, Ahmed M. Abdelmoniem, Yingliang Wu, Rui Mao
2025 J jnl
Knowledge Routing in Decentralized Learning.
IEEE Intell. Syst.
Ahmed M. Abdelmoniem, Yuchen Zhao
2025 J jnl
Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models.
IEEE Trans. Dependable Secur. Comput.
Gaoyang Liu, Tianlong Xu, Yang Yang, Ahmed M. Abdelmoniem, Chen Wang, Jiangchuan Liu
2025 A* conf
Prototype Surgery: Tailoring Neural Prototypes via Soft Labels for Efficient Machine Unlearning.
CCS
Gaoyang Liu, Xijie Wang, Zixiong Wang, Chen Wang, Ahmed M. Abdelmoniem, Desheng Wang
2025 A* conf
Query-based Knowledge Transfer for Heterogeneous Learning Environments.
ICLR
Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025 J jnl
Query-based Knowledge Transfer for Heterogeneous Learning Environments.
CoRR
Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025 J jnl
Space-Frequency and Global-Local Attentive Networks for Sequential Deepfake Detection.
IEEE Trans. Comput. Soc. Syst.
Guisheng Zhang, Qilei Li, Mingliang Gao, Siyou Guo, Gwanggil Jeon, Ahmed M. Abdelmoniem
2025 J jnl
Troubleshooting Programmable Data Planes via Real-Time Table Information Recording.
IEEE Trans. Netw.
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
2025 J jnl
Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services.
Comput. Networks
Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov
2024 J jnl
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization.
CoRR
Min Wen, Chengchang Liu, Ahmed M. Abdelmoniem, Yipeng Zhou, Yuedong Xu
2024 J jnl
Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters.
IEEE Trans. Cloud Comput.
Ahmed M. Abdelmoniem, Brahim Bensaou
2024 — conf
Comparative Profiling: Insights Into Latent Diffusion Model Training.
EuroMLSys@EuroSys
Bradley Aldous, Ahmed M. Abdelmoniem
2024 A conf
Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse.
ICWSM
Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro
2024 J jnl
Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse.
CoRR
Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro
2024 J jnl
Dimensioning the pending interest table in content-centric networks.
Future Gener. Comput. Syst.
Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem
2024 — conf
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.
EDGE
Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov
2024 — conf
EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters.
ICC
Kasra Zaeri, Ahmed M. Abdelmoniem
2024 — conf
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning.
WWW (Companion Volume)
Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You
2024 J jnl
FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network.
IEEE Trans. Cloud Comput.
Yuchao Zhang, Haoqiang Huang, Ahmed M. Abdelmoniem, Gaoxiong Zeng, Chenyue Zheng, Xirong Que, Wendong Wang, Ke Xu
2024 A conf
FLOAT: Federated Learning Optimizations with Automated Tuning.
EuroSys
Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar
2024 J jnl
FairQ: Fair and Fast Rate Allocation in Data Centers.
CoRR
Ahmed M. Abdelmoniem, Brahim Bensaou
2024 J jnl
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients.
CoRR
Shaoyuan Chen, Linlin You, Rui Liu, Shuo Yu, Ahmed M. Abdelmoniem
2024 J jnl
Flashback: Understanding and Mitigating Forgetting in Federated Learning.
CoRR
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth
2024 J jnl
Leveraging chaos for enhancing encryption and compression in large cloud data transfers.
J. Supercomput.
Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem
2024 J jnl
Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning.
IEEE Trans. Inf. Forensics Secur.
Jian Chen, Yuan Gao, Gaoyang Liu, Ahmed M. Abdelmoniem, Chen Wang
2024 J jnl
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense.
CoRR
Qilei Li, Ahmed M. Abdelmoniem
2024 J jnl
MpScope: Enabling multi-pipeline monitoring inside a switch.
Comput. Networks
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
2024 — conf
Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices.
QRS Companion
José A. Esquivel, Bradley Aldous, Ahmed M. Abdelmoniem, Ahmad Alhilal, Linlin You
2024 J jnl
Publisher Correction to: Leveraging chaos for enhancing encryption and compression in large cloud data transfers.
J. Supercomput.
Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury, Ahmed M. Abdelmoniem
2024 J jnl
SDANet: scale-deformation awareness network for crowd counting.
J. Electronic Imaging
Jianyong Wang, Xiangyu Guo, Qilei Li, Ahmed M. Abdelmoniem, Mingliang Gao
2024 J jnl
Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications.
Future Internet
Hadeel Alrubayyi, Moudy Sharaf Alshareef, Zunaira Nadeem, Ahmed M. Abdelmoniem, Mona Jaber
2024 J jnl
Towards Energy-Aware Federated Learning via Collaborative Computing Approach.
Comput. Commun.
Amna Arouj, Ahmed M. Abdelmoniem
2024 J jnl
Towards a Decentralized Collaborative Framework for Scalable Edge AI.
Future Internet
Ahmed M. Abdelmoniem, Mona Jaber, Ali Anwar, Yuchao Zhang, Mingliang Gao
2023 J jnl
A Comprehensive Empirical Study of Heterogeneity in Federated Learning.
IEEE Internet Things J.
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2023 — conf
A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection.
CAMAD
Moudy Sharaf Alshareef, Mona Jaber, Ahmed M. Abdelmoniem
2023 J jnl
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction.
CoRR
Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
2023 — conf
A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data.
ICC
Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Ahmed Elzanaty
2023 J jnl
AI-based fog and edge computing: A systematic review, taxonomy and future directions.
Internet Things
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
2023 C conf
Achieving Zero-copy Serialization for Datacenter RPC.
IPCCC
Tianfan Zhang, Huaping Zhou, Chengyuan Huang, Chen Tian, Wei Zhang, Xiaoliang Wang, Yi Wang, Ahmed M. Abdelmoniem, Matthew Tan, Wanchun Dou, Guihai Chen
2023 J jnl
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms.
CoRR
Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem
2023 J jnl
Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation.
IEEE/ACM Trans. Netw.
Ahmed M. Abdelmoniem, Brahim Bensaou
2023 J jnl
Ensuring reliable network operations and maintenance: The role of PMRF for switch maintenance and upgrades in SDN.
J. King Saud Univ. Comput. Inf. Sci.
Nauman Khan, Rosli Bin Salleh, Zahid Khan, Anis Koubaa, Mosab Hamdan, Ahmed M. Abdelmoniem
2023 — conf
Federated Learning for IoT Networks: Enhancing Efficiency and Privacy.
WF-IoT
Sofia Zahri, Hajar Bennouri, Abdellah Chehri, Ahmed M. Abdelmoniem
2023 J jnl
Fortaleza: The emergence of a network hub.
CoRR
Eric Bragion, Habiba Akter, Mohit Kumar, Minxian Xu, Ahmed M. Abdelmoniem, Sukhpal Singh Gill
2023 J jnl
Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary.
IEEE Trans. Inf. Forensics Secur.
Zehao Tian, Zixiong Wang, Ahmed M. Abdelmoniem, Gaoyang Liu, Chen Wang
2023 J jnl
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data.
CoRR
Ahmed M. Abdelmoniem
2023 A conf
REFL: Resource-Efficient Federated Learning.
EuroSys
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
2023 J jnl
Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach.
CoRR
Karan Pardeshi, Sukhpal Singh Gill, Ahmed M. Abdelmoniem
2022 J jnl
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions.
CoRR
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
2022 J jnl
Active clustering data streams with affinity propagation.
ICT Express
Sameh Abdulah, Walid Atwa, Ahmed M. Abdelmoniem
2022 — conf
Empirical analysis of federated learning in heterogeneous environments.
EuroMLSys@EuroSys
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2022 J jnl
Towards Energy-Aware Federated Learning on Battery-Powered Clients.
CoRR
Amna Arouj, Ahmed M. Abdelmoniem
2022 — conf
Towards energy-aware federated learning on battery-powered clients.
FedEdge@MobiCom
Amna Arouj, Ahmed M. Abdelmoniem
2021 — conf
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems.
MLSys
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
2021 J jnl
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems.
CoRR
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
2021 A* conf
DC2: Delay-aware Compression Control for Distributed Machine Learning.
INFOCOM
Ahmed M. Abdelmoniem, Marco Canini
2021 A conf
GRACE: A Compressed Communication Framework for Distributed Machine Learning.
ICDCS
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021 J jnl
On the Impact of Device and Behavioral Heterogeneity in Federated Learning.
CoRR
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini
2021 J jnl
Resource-Efficient Federated Learning.
CoRR
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
2021 A* conf
Rethinking gradient sparsification as total error minimization.
NeurIPS
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021 J jnl
Rethinking gradient sparsification as total error minimization.
CoRR
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021 — conf
Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization.
EuroMLSys@EuroSys
Ahmed M. Abdelmoniem, Marco Canini
2020 — conf
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.
DistributedML@CoNEXT
Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
2020 A* conf
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
AAAI
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019 J jnl
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
CoRR
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis