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ORCIDAhmed M. Abdelmoniem
Person information
- affiliation: Ain Shams University, Cairo, Egypt
- affiliation (PhD 2017): Hong Kong University of Science and Technology, Hong Kong
- affiliation (former): Assiut University, Department of Computer Science, Asyut, Egypt
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2020 – today
- 2024
[j13]Amuda James Abu, Brahim Bensaou, Ahmed M. Abdelmoniem
:
Dimensioning the pending interest table in content-centric networks. Future Gener. Comput. Syst. 152: 179-192 (2024)- [j12]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): 85 (2024) - [j11]Ahmed M. Abdelmoniem, Brahim Bensaou:
Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters. IEEE Trans. Cloud Comput. 12(1): 219-231 (2024) - [j10]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: 2412-2424 (2024) - [c31]Bradley Aldous, Ahmed M. Abdelmoniem:
Comparative Profiling: Insights Into Latent Diffusion Model Training. EuroMLSys@EuroSys 2024: 176-183 - [c30]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: 200-218 - [i18]Ahmed M. Abdelmoniem, Brahim Bensaou:
FairQ: Fair and Fast Rate Allocation in Data Centers. CoRR abs/2401.04850 (2024) - [i17]Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth:
Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR abs/2402.05558 (2024) - 2023
- [j9]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: 100674 (2023) - [j8]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): 14071-14083 (2023) - [j7]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): 101809 (2023) - [j6]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: 4116-4127 (2023) - [j5]Ahmed M. Abdelmoniem, Brahim Bensaou:
Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation. IEEE/ACM Trans. Netw. 31(6): 2614-2623 (2023) - [c29]Moudy Sharaf Alshareef, Mona Jaber, Ahmed M. Abdelmoniem:
A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection. CAMAD 2023: 206-212 - [c28]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
REFL: Resource-Efficient Federated Learning. EuroSys 2023: 215-232 - [c27]Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Ahmed Elzanaty:
A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data. ICC 2023: 1200-1205 - [i16]Ahmed M. Abdelmoniem:
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data. CoRR abs/2306.10848 (2023) - [i15]Eric Bragion, Habiba Akter, Mohit Kumar, Minxian Xu, Ahmed M. Abdelmoniem, Sukhpal Singh Gill:
Fortaleza: The emergence of a network hub. CoRR abs/2307.13602 (2023) - [i14]Karan Pardeshi, Sukhpal Singh Gill, Ahmed M. Abdelmoniem:
Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach. CoRR abs/2308.04419 (2023) - [i13]Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem:
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction. CoRR abs/2308.08502 (2023) - [i12]Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem:
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms. CoRR abs/2312.15375 (2023) - 2022
- [j4]Sameh Abdulah, Walid Atwa, Ahmed M. Abdelmoniem:
Active clustering data streams with affinity propagation. ICT Express 8(2): 276-282 (2022) - [c26]Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini:
Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys 2022: 1-9 - [c25]Amna Arouj, Ahmed M. Abdelmoniem:
Towards energy-aware federated learning on battery-powered clients. FedEdge@MobiCom 2022: 7-12 - [i11]Amna Arouj, Ahmed M. Abdelmoniem:
Towards Energy-Aware Federated Learning on Battery-Powered Clients. CoRR abs/2208.04505 (2022) - [i10]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
The Switch from Conventional to SDN: The Case for Transport-Agnostic Congestion Control. CoRR abs/2209.04729 (2022) - [i9]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 abs/2212.04645 (2022) - 2021
- [j3]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks. IEEE/ACM Trans. Netw. 29(3): 1074-1087 (2021) - [c24]Ahmed M. Abdelmoniem, Marco Canini:
Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. EuroMLSys@EuroSys 2021: 96-103 - [c23]Kelvin H. T. Chiu, Jason Min Wang, Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
A Two-tiered Caching Scheme for Information-Centric Networks. HPSR 2021: 1-6 - [c22]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: 561-572 - [c21]Ahmed M. Abdelmoniem, Marco Canini:
DC2: Delay-aware Compression Control for Distributed Machine Learning. INFOCOM 2021: 1-10 - [c20]Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini:
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. MLSys 2021 - [c19]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. NeurIPS 2021: 8133-8146 - [i8]Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini:
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. CoRR abs/2101.10761 (2021) - [i7]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks. CoRR abs/2102.07477 (2021) - [i6]Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini:
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR abs/2102.07500 (2021) - [i5]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Implementation and Evaluation of Data Center Congestion Controller with Switch Assistance. CoRR abs/2106.14100 (2021) - [i4]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - [i3]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
Resource-Efficient Federated Learning. CoRR abs/2111.01108 (2021) - 2020
- [c18]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: 3817-3824 - [c17]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: 21-27 - [c16]Ahmed Mohamed Abdelmoniem, Hengky Susanto, Brahim Bensaou:
Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch. ICPP 2020: 72:1-72:11 - [i2]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Design and Implementation of Fair Congestion Control for Data Centers Networks. CoRR abs/2012.00339 (2020)
2010 – 2019
- 2019
- [j2]Jiaqing Dong, Hao Yin, Chen Tian, Ahmed Mohamed Abdelmoniem, Huaping Zhou, Bo Bai, Gong Zhang:
Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control. Comput. Networks 152: 154-166 (2019) - [c15]Hengky Susanto, Ahmed Mohamed Abdelmoniem, Hao Jin, Brahim Bensaou:
Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks. ICC 2019: 1-6 - [c14]Ahmed Mohamed Abdelmoniem, Brahim Bensaou, Hengky Susanto:
Taming Latency in Data Centers Via Active Congestion-Probing. ICDCS 2019: 101-110 - [c13]Hengky Susanto, Ahmed Mohamed Abdelmoniem, Honggang Zhang, Benyuan Liu, Don Towsley:
A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads. ICDCS 2019: 2026-2036 - [c12]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Hysteresis-based Active Queue Management for TCP Traffic in Data Centers. INFOCOM 2019: 1621-1629 - [i1]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 abs/1911.08250 (2019) - 2018
- [j1]Ahmed Mohamed Abdelmoniem, Brahim Bensaou, Amuda James Abu:
Mitigating incast-TCP congestion in data centers with SDN. Ann. des Télécommunications 73(3-4): 263-277 (2018) - [c11]Ahmed Mohamed Abdelmoniem, Brahim Bensaou, Victor Barsoum:
IncastGuard: An Efficient TCP-Incast Mitigation Mechanism for Cloud Networks. GLOBECOM 2018: 1-6 - [c10]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism. INFOCOM 2018: 675-683 - 2017
- [c9]Ahmed Mohamed Abdelmoniem, Brahim Bensaou, Amuda James Abu:
SICC: SDN-based incast congestion control for data centers. ICC 2017: 1-6 - [c8]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Enforcing Transport-Agnostic Congestion Control in SDN-Based Data Centers. LCN 2017: 128-136 - [c7]Abadhan Saumya Sabyasachi, Hussain Mohammed Dipu Kabir, Ahmed Mohamed Abdelmoniem, Subrota Kumar Mondal:
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. SRDS 2017: 247-249 - 2016
- [c6]Ahmed Mohamed Abdelmoniem, Brahim Bensaou, Amuda James Abu:
HyGenICC: Hypervisor-based generic IP congestion control for virtualized data centers. ICC 2016: 1-6 - [c5]Amuda James Abu, Brahim Bensaou, Ahmed Mohamed Abdelmoniem:
A Markov model of CCN pending interest table occupancy with interest timeout and retries. ICC 2016: 1-6 - [c4]Amuda James Abu, Brahim Bensaou, Ahmed Mohamed Abdelmoniem:
Inferring and Controlling Congestion in CCN via the Pending Interest Table Occupancy. LCN 2016: 433-441 - 2015
- [c3]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Reconciling mice and elephants in data center networks. CloudNet 2015: 119-124 - [c2]Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers. GLOBECOM 2015: 1-6 - 2010
- [c1]Ahmed M. Abdel-Moniem, Marghny H. Mohamed, Abdel-Rahman Hedar:
An ant colony optimization algorithm for the mobile ad hoc network routing problem based on AODV protocol. ISDA 2010: 1332-1337
Coauthor Index
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last updated on 2024-04-22 20:05 CEST by the dblp team
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