2024
Publisher Correction to: Leveraging chaos for enhancing encryption and compression in large cloud data transfers.
J. Supercomput., June, 2024
Leveraging chaos for enhancing encryption and compression in large cloud data transfers.
J. Supercomput., June, 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
FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network.
IEEE Trans. Cloud Comput., 2024
Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters.
IEEE Trans. Cloud Comput., 2024
SDANet: scale-deformation awareness network for crowd counting.
J. Electronic Imaging, 2024
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization.
CoRR, 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense.
CoRR, 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients.
CoRR, 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning.
CoRR, 2024
FairQ: Fair and Fast Rate Allocation in Data Centers.
CoRR, 2024
Towards Energy-Aware Federated Learning via Collaborative Computing Approach.
Comput. Commun., 2024
MpScope: Enabling multi-pipeline monitoring inside a switch.
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Comput. Networks, 2024
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024
Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse.
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.
Proceedings of the IEEE International Conference on Communications, 2024
FLOAT: Federated Learning Optimizations with Automated Tuning.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
Comparative Profiling: Insights Into Latent Diffusion Model Training.
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.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 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.
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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
Federated Learning for IoT Networks: Enhancing Efficiency and Privacy.
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.
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 the Fourth Conference on Machine Learning and Systems, 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