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Ahmed M. Abdelmoniem
Ahmed Mohamed Abdelmoniem – Ahmed M. Abdel-Moniem
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
- [j19]Chengyuan Huang
, Tianfan Zhang, Li Wang
MpScope: Enabling multi-pipeline monitoring inside a switch. Comput. Networks 254: 110764 (2024) - [j18]Amna Arouj, Ahmed M. Abdelmoniem
Towards Energy-Aware Federated Learning via Collaborative Computing Approach. Comput. Commun. 221: 131-141 (2024) - [j17]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) - [j16]Hadeel Alrubayyi
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) - [j15]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) - [j14]Ahmed M. Abdelmoniem
Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters. IEEE Trans. Cloud Comput. 12(1): 219-231 (2024) - [j13]Yuchao Zhang
FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network. IEEE Trans. Cloud Comput. 12(2): 737-749 (2024) - [j12]Jian Chen
Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning. IEEE Trans. Inf. Forensics Secur. 19: 2412-2424 (2024) - [j11]Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury
Leveraging chaos for enhancing encryption and compression in large cloud data transfers. J. Supercomput. 80(9): 11923-11957 (2024) - [j10]Shiladitya Bhattacharjee, Himanshi Sharma, Tanupriya Choudhury
Publisher Correction to: Leveraging chaos for enhancing encryption and compression in large cloud data transfers. J. Supercomput. 80(9): 13493-13494 (2024) - [c37]Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov:
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service. EDGE 2024: 29-34 - [c36]Bradley Aldous
Comparative Profiling: Insights Into Latent Diffusion Model Training. EuroMLSys@EuroSys 2024: 176-183 - [c35]Ahmad Faraz Khan
FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys 2024: 200-218 - [c34]Kasra Zaeri, Ahmed M. Abdelmoniem:
EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters. ICC 2024: 4668-4673 - [c33]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: 2-14 - [c32]José A. Esquivel, Bradley Aldous, Ahmed M. Abdelmoniem, Ahmad Alhilal, Linlin You:
Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices. QRS Companion 2024: 363-372 - [c31]Gengxiang Chen
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. WWW (Companion Volume) 2024: 525-528 - [i22]Ahmed M. Abdelmoniem, Brahim Bensaou:
FairQ: Fair and Fast Rate Allocation in Data Centers. CoRR abs/2401.04850 (2024) - [i21]Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini
Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR abs/2402.05558 (2024) - [i20]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 abs/2404.03048 (2024) - [i19]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 abs/2407.05268 (2024) - [i18]Qilei Li, Ahmed M. Abdelmoniem:
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense. CoRR abs/2408.02813 (2024) - [i17]Min Wen, Chengchang Liu, Ahmed M. Abdelmoniem, Yipeng Zhou, Yuedong Xu:
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization. CoRR abs/2410.14115 (2024) - 2023
- [j9]Sundas Iftikhar, Sukhpal Singh Gill
AI-based fog and edge computing: A systematic review, taxonomy and future directions. Internet Things 21: 100674 (2023) - [j8]Ahmed M. Abdelmoniem
A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. 10(16): 14071-14083 (2023) - [j7]Nauman Khan, Rosli Bin Salleh
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
Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary. IEEE Trans. Inf. Forensics Secur. 18: 4116-4127 (2023) - [j5]Ahmed M. Abdelmoniem
Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation. IEEE/ACM Trans. Netw. 31(6): 2614-2623 (2023) - [c30]Moudy Sharaf Alshareef, Mona Jaber, Ahmed M. Abdelmoniem:
A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection. CAMAD 2023: 206-212 - [c29]Ahmed M. Abdelmoniem
REFL: Resource-Efficient Federated Learning. EuroSys 2023: 215-232 - [c28]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 - [c27]Sofia Zahri
Federated Learning for IoT Networks: Enhancing Efficiency and Privacy. WF-IoT 2023: 1-6 - [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
Active clustering data streams with affinity propagation. ICT Express 8(2): 276-282 (2022) - [c26]Ahmed M. Abdelmoniem
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
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions. CoRR abs/2212.04645 (2022) - 2021
- [j3]Ahmed Mohamed Abdelmoniem
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
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
A Two-tiered Caching Scheme for Information-Centric Networks. HPSR 2021: 1-6 - [c22]Hang Xu
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [c21]Ahmed M. Abdelmoniem
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
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
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
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - [i3]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini
Resource-Efficient Federated Learning. CoRR abs/2111.01108 (2021) - 2020
- [c18]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho
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
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
Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control. Comput. Networks 152: 154-166 (2019) - [c15]Hengky Susanto, Ahmed Mohamed Abdelmoniem
Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks. ICC 2019: 1-6 - [c14]Ahmed Mohamed Abdelmoniem
Taming Latency in Data Centers Via Active Congestion-Probing. ICDCS 2019: 101-110 - [c13]Hengky Susanto, Ahmed Mohamed Abdelmoniem
A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads. ICDCS 2019: 2026-2036 - [c12]Ahmed Mohamed Abdelmoniem
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
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
Mitigating incast-TCP congestion in data centers with SDN. Ann. des Télécommunications 73(3-4): 263-277 (2018) - [c11]Ahmed Mohamed Abdelmoniem
IncastGuard: An Efficient TCP-Incast Mitigation Mechanism for Cloud Networks. GLOBECOM 2018: 1-6 - [c10]Ahmed Mohamed Abdelmoniem
Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism. INFOCOM 2018: 675-683 - 2017
- [c9]Ahmed Mohamed Abdelmoniem
SICC: SDN-based incast congestion control for data centers. ICC 2017: 1-6 - [c8]Ahmed Mohamed Abdelmoniem
Enforcing Transport-Agnostic Congestion Control in SDN-Based Data Centers. LCN 2017: 128-136 - [c7]Abadhan Saumya Sabyasachi
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. SRDS 2017: 247-249 - 2016
- [c6]Ahmed Mohamed Abdelmoniem
HyGenICC: Hypervisor-based generic IP congestion control for virtualized data centers. ICC 2016: 1-6 - [c5]Amuda James Abu
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
Reconciling mice and elephants in data center networks. CloudNet 2015: 119-124 - [c2]Ahmed Mohamed Abdelmoniem
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 2024-12-03 20:21 CET by the dblp team
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