Richeng Jin

IEEE J. Sel. Areas Commun., June, 2023

Distributed Learning Over Networks With Graph-Attention-Based Personalization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

On the Privacy Guarantees of Gossip Protocols in General Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2023

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity.

[BibT_eX]

[DOI]

Md. Ferdous Pervej

CoRR, 2023

Joint Compression and Deadline Optimization for Wireless Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity.

[BibT_eX]

[DOI]

CoRR, 2023

On the f-Differential Privacy Guarantees of Discrete-Valued Mechanisms.

[BibT_eX]

[DOI]

CoRR, 2023

Symbol Detection for Intelligent Reflecting Surface-aided Orthogonal Time Frequency Space Systems.

[BibT_eX]

[DOI]

Taoyu Xie

Qin Tao

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Partial Replication-Enabled Cooperative Transmission for Distributed Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Reconfigurable Holographic Surface-Aided Distributed Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Gradient Obfuscation Gives a False Sense of Security in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributed Compressed Sensing With Personalized Variational Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Coded Parallelism for Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Graph-Attention-Based Decentralized Edge Learning for Non-IID Data.

[BibT_eX]

[DOI]

Zhuojun Tian

Zhaoyang Zhang

Proceedings of the IEEE International Conference on Communications, 2023

Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops 2023, 2023

Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Communication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks.

[BibT_eX]

[DOI]

Philip Dai

Kaiqi Xiong

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Communication Efficient Federated Learning With Energy Awareness Over Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Delay-Optimal Coded Offloading for Distributed Edge Computing in Fading Environments.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Multi-Hop Task Offloading With On-the-Fly Computation for Multi-UAV Remote Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Communication-Efficient Federated Learning via Predictive Coding.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed ADMM for Time-Varying Communication Networks.

[BibT_eX]

[DOI]

Zhuojun Tian

Zhaoyang Zhang

Proceedings of the 96th Vehicular Technology Conference, 2022

Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Neural Tangent Kernel Empowered Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Federated Learning with Adaptive Clustering on Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

Minimizing the Age of Information in the Presence of Location Privacy-Aware Mobile Agents.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

Federated Learning via Plurality Vote.

[BibT_eX]

[DOI]

CoRR, 2021

Joint Service Placement and Resource Allocation for Multi-UAV Collaborative Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

2020

Peace: Privacy-Preserving and Cost-Efficient Task Offloading for Mobile-Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Physical-Layer Assisted Secure Offloading in Mobile-Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

On the Design of Communication Efficient Federated Learning over Wireless Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees.

[BibT_eX]

[DOI]

CoRR, 2020

Glide and Zap Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Differential Privacy and Prediction Uncertainty of Gossip Protocols in General Networks.

[BibT_eX]

[DOI]

Yufan Huang

Proceedings of the IEEE Global Communications Conference, 2020

Joint Power and Deployment Optimization for Multi-UAV Remote Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Camouflaging Mobile Primary Users in Database-Driven Cognitive Radio Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2019

On the Security-Privacy Tradeoff in Collaborative Security: A Quantitative Information Flow Game Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2019

Deep PDS-Learning for Privacy-Aware Offloading in MEC-Enabled IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Physical-Layer Assisted Privacy-Preserving Offloading in Mobile-Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Leveraging Spatial Diversity for Privacy-Aware Location-Based Services in Mobile Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2018

Collaborative IDS Configuration: A Two-Layer Game-Theoretic Approach.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2018

2017

Towards Privacy-Aware Collaborative Security: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

Foresighted deception in dynamic security games.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

On the Tradeoff between Privacy and Utility in Collaborative Intrusion Detection Systems-A Game Theoretical Approach.

[BibT_eX]

[DOI]

Proceedings of the Hot Topics in Science of Security: Symposium and Bootcamp, HoTSoS 2017, 2017

Privacy-Aware Offloading in Mobile-Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Collaborative IDS Configuration: A Two-Layer Game-Theoretical Approach.

[BibT_eX]

[DOI]