Ahmed M. Abdelmoniem

Orcid: 0000-0002-1374-1882

Affiliations:
  • Ain Shams University, Cairo, Egypt
  • Hong Kong University of Science and Technology, Hong Kong (PhD 2017)
  • Assiut University, Department of Computer Science, Asyut, Egypt (former)


According to our database1, Ahmed M. Abdelmoniem authored at least 54 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications.
Future Internet, March, 2024

Dimensioning the pending interest table in content-centric networks.
Future Gener. Comput. Syst., March, 2024

Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning.
IEEE Trans. Inf. Forensics Secur., 2024

Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters.
IEEE Trans. Cloud Comput., 2024

Flashback: Understanding and Mitigating Forgetting in Federated Learning.
CoRR, 2024

FairQ: Fair and Fast Rate Allocation in Data Centers.
CoRR, 2024

2023
Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation.
IEEE/ACM Trans. Netw., December, 2023

Ensuring reliable network operations and maintenance: The role of PMRF for switch maintenance and upgrades in SDN.
J. King Saud Univ. Comput. Inf. Sci., December, 2023

A Comprehensive Empirical Study of Heterogeneity in Federated Learning.
IEEE Internet Things J., August, 2023

AI-based fog and edge computing: A systematic review, taxonomy and future directions.
Internet Things, April, 2023

Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary.
IEEE Trans. Inf. Forensics Secur., 2023

An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms.
CoRR, 2023

A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction.
CoRR, 2023

Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach.
CoRR, 2023

Fortaleza: The emergence of a network hub.
CoRR, 2023

Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data.
CoRR, 2023

A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data.
Proceedings of the IEEE International Conference on Communications, 2023

REFL: Resource-Efficient Federated Learning.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023

2022
Active clustering data streams with affinity propagation.
ICT Express, 2022

The Switch from Conventional to SDN: The Case for Transport-Agnostic Congestion Control.
CoRR, 2022

Towards energy-aware federated learning on battery-powered clients.
Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

Empirical analysis of federated learning in heterogeneous environments.
Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021
T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks.
IEEE/ACM Trans. Netw., 2021

Resource-Efficient Federated Learning.
CoRR, 2021

Implementation and Evaluation of Data Center Congestion Controller with Switch Assistance.
CoRR, 2021

On the Impact of Device and Behavioral Heterogeneity in Federated Learning.
CoRR, 2021

Rethinking gradient sparsification as total error minimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems.
Proceedings of Machine Learning and Systems 2021, 2021

DC2: Delay-aware Compression Control for Distributed Machine Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

GRACE: A Compressed Communication Framework for Distributed Machine Learning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

A Two-tiered Caching Scheme for Information-Centric Networks.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020
Design and Implementation of Fair Congestion Control for Data Centers Networks.
CoRR, 2020

Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.
Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control.
Comput. Networks, 2019

Hysteresis-based Active Queue Management for TCP Traffic in Data Centers.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Taming Latency in Data Centers Via Active Congestion-Probing.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Mitigating incast-TCP congestion in data centers with SDN.
Ann. des Télécommunications, 2018

Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

IncastGuard: An Efficient TCP-Incast Mitigation Mechanism for Cloud Networks.
Proceedings of the IEEE Global Communications Conference, 2018

2017
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Enforcing Transport-Agnostic Congestion Control in SDN-Based Data Centers.
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

SICC: SDN-based incast congestion control for data centers.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Inferring and Controlling Congestion in CCN via the Pending Interest Table Occupancy.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

A Markov model of CCN pending interest table occupancy with interest timeout and retries.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

HyGenICC: Hypervisor-based generic IP congestion control for virtualized data centers.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Reconciling mice and elephants in data center networks.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

2010
An ant colony optimization algorithm for the mobile ad hoc network routing problem based on AODV protocol.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010


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