Xiaolan Liu

IEEE Wirel. Commun. Lett., August, 2025

Enhancing Federated Learning Convergence With Dynamic Data Queue and Data-Entropy-Driven Participant Selection.

[BibT_eX]

[DOI]

Charuka Herath

Yogachandran Rahulamathavan

IEEE Internet Things J., March, 2025

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning.

[BibT_eX]

[DOI]

Konstantinos G. Kyriakopoulos

Yuan Wang

Qingsong Wei

CoRR, January, 2025

Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning.

[BibT_eX]

[DOI]

Konstantinos G. Kyriakopoulos

Yuan Wang

Qingsong Wei

IEEE Trans. Inf. Forensics Secur., 2025

2024

AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., September, 2024

Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction.

[BibT_eX]

[DOI]

Jingxin Li

IEEE Open J. Commun. Soc., 2024

Bayesian Optimisation-Driven Poisoning Attack Against Personalised Federated Learning in Metaverse.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Fully Independent Communication in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Distributed Learning for Metaverse over Wireless Networks.

[BibT_eX]

[DOI]

Yuanwei Liu

IEEE Commun. Mag., September, 2023

IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., July, 2023

Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach.

[BibT_eX]

[DOI]

Yansha Deng

IEEE Trans. Wirel. Commun., April, 2023

Distributed Intelligence in Wireless Networks.

[BibT_eX]

[DOI]

Yogachandran Rahulamathavan

Danny Hin-Kwok Tsang

IEEE Open J. Commun. Soc., 2023

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users.

[BibT_eX]

[DOI]

Charuka Herath

Yogachandran Rahulamathavan

Carsten Maple

CoRR, 2023

Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning.

[BibT_eX]

[DOI]

Charuka Herath

CoRR, 2023

Bayesian Optimization-Driven Adversarial Poisoning Attacks Against Distributed Learning.

[BibT_eX]

[DOI]

Basil AsSadhan

IEEE Access, 2023

Asynchronous Personalized Learning for Heterogeneous Wireless Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Opportunistic Transmission of Distributed Learning Models in Mobile UAVs.

[BibT_eX]

[DOI]

Jingxin Li

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Pattern Recognition, 2023

Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Adversarial Poisoning Attacks on Federated Learning in Metaverse.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks.

[BibT_eX]

[DOI]

Yansha Deng

Proceedings of the IEEE International Conference on Communications, 2022

2021

On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs.

[BibT_eX]

[DOI]

Jiadong Yu

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Learning to Predict the Mobility of Users in Mobile mmWave Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Fairness-Aware Intragroup Cooperative Transmission in Wireless Powered Communication Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2020

Resource Allocation With Edge Computing in IoT Networks via Machine Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing.

[BibT_eX]

[DOI]

Jiadong Yu

CoRR, 2020

2019

Resource Allocation in Wireless Powered IoT Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks.

[BibT_eX]

[DOI]

Fengye Hu

IEEE Internet Things J., 2019

Reinforcement Learning Approaches for IoT Networks with Energy Harvesting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Resource Allocation for Edge Computing in IoT Networks via Reinforcement Learning.

[BibT_eX]

[DOI]

Zhijin Qin

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network.

[BibT_eX]

[DOI]