Ahmed M. Abdelmoniem

J. Supercomput., June, 2024

Leveraging chaos for enhancing encryption and compression in large cloud data transfers.

[BibT_eX]

[DOI]

Shiladitya Bhattacharjee

Himanshi Sharma

Tanupriya Choudhury

J. Supercomput., June, 2024

Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications.

[BibT_eX]

[DOI]

Hadeel Alrubayyi

Moudy Sharaf Alshareef

Zunaira Nadeem

Mona Jaber

Future Internet, March, 2024

Dimensioning the pending interest table in content-centric networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., March, 2024

Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2024

Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2024

SDANet: scale-deformation awareness network for crowd counting.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2024

Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense.

[BibT_eX]

[DOI]

Qilei Li

CoRR, 2024

Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients.

[BibT_eX]

[DOI]

CoRR, 2024

Flashback: Understanding and Mitigating Forgetting in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

FairQ: Fair and Fast Rate Allocation in Data Centers.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Energy-Aware Federated Learning via Collaborative Computing Approach.

[BibT_eX]

[DOI]

Amna Arouj

Comput. Commun., 2024

MpScope: Enabling multi-pipeline monitoring inside a switch.

[BibT_eX]

[DOI]

Comput. Networks, 2024

Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters.

[BibT_eX]

[DOI]

Kasra Zaeri

Proceedings of the IEEE International Conference on Communications, 2024

FLOAT: Federated Learning Optimizations with Automated Tuning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Comparative Profiling: Insights Into Latent Diffusion Model Training.

[BibT_eX]

[DOI]

Bradley Aldous

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

2023

Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., December, 2023

Ensuring reliable network operations and maintenance: The role of PMRF for switch maintenance and upgrades in SDN.

[BibT_eX]

[DOI]

J. King Saud Univ. Comput. Inf. Sci., December, 2023

A Comprehensive Empirical Study of Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

Chen-Yu Ho

Pantelis Papageorgiou

Mohammad Sadegh Aslanpour

IEEE Internet Things J., August, 2023

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

[BibT_eX]

[DOI]

Internet Things, April, 2023

Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms.

[BibT_eX]

[DOI]

Sofia Zahri

Hajar Bennouri

CoRR, 2023

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

[BibT_eX]

[DOI]

Karan Gadgil

Sukhpal Singh Gill

CoRR, 2023

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

[BibT_eX]

[DOI]

Karan Pardeshi

Sukhpal Singh Gill

CoRR, 2023

Fortaleza: The emergence of a network hub.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Federated Learning for IoT Networks: Enhancing Efficiency and Privacy.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data.

[BibT_eX]

[DOI]

Yomna M. Abdelmoniem

Ahmed Elzanaty

Proceedings of the IEEE International Conference on Communications, 2023

REFL: Resource-Efficient Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection.

[BibT_eX]

[DOI]

Moudy Sharaf Alshareef

Mona Jaber

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.

[BibT_eX]

[DOI]

Sameh Abdulah

Walid Atwa

ICT Express, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Towards energy-aware federated learning on battery-powered clients.

[BibT_eX]

[DOI]

Amna Arouj

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.

[BibT_eX]

[DOI]

Chen-Yu Ho

Pantelis Papageorgiou

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.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2021

Resource-Efficient Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Chen-Yu Ho

Pantelis Papageorgiou

Muhammad Bilal

CoRR, 2021

Rethinking gradient sparsification as total error minimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

DC2: Delay-aware Compression Control for Distributed Machine Learning.

[BibT_eX]

[DOI]

Konstantinos Karatsenidis

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

GRACE: A Compressed Communication Framework for Distributed Machine Learning.

[BibT_eX]

[DOI]

Panos Kalnis

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

A Two-tiered Caching Scheme for Information-Centric Networks.

[BibT_eX]

[DOI]

Kelvin H. T. Chiu

Jason Min Wang

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.

[BibT_eX]

[DOI]

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch.

[BibT_eX]

[DOI]

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control.

[BibT_eX]

[DOI]

Jiaqing Dong

Hao Yin

Chen Tian

Huaping Zhou

Bo Bai

Gong Zhang

Comput. Networks, 2019

Hysteresis-based Active Queue Management for TCP Traffic in Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads.

[BibT_eX]

[DOI]

Honggang Zhang

Benyuan Liu

Don Towsley

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Taming Latency in Data Centers Via Active Congestion-Probing.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks.

[BibT_eX]

[DOI]

Hao Jin

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Mitigating incast-TCP congestion in data centers with SDN.

[BibT_eX]

[DOI]

Ann. des Télécommunications, 2018

Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

IncastGuard: An Efficient TCP-Incast Mitigation Mechanism for Cloud Networks.

[BibT_eX]

[DOI]

Abadhan Saumya Sabyasachi

Victor Barsoum

Proceedings of the IEEE Global Communications Conference, 2018

2017

A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market.

[BibT_eX]

[DOI]

Hussain Mohammed Dipu Kabir

Subrota Kumar Mondal

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Enforcing Transport-Agnostic Congestion Control in SDN-Based Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

SICC: SDN-based incast congestion control for data centers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

2016

Inferring and Controlling Congestion in CCN via the Pending Interest Table Occupancy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Communications, 2016

HyGenICC: Hypervisor-based generic IP congestion control for virtualized data centers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Reconciling mice and elephants in data center networks.

[BibT_eX]

[DOI]