Xiaoxin Su

According to our database, Xiaoxin Su authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression.

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Song Guo

CoRR, 2024

Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes.

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, John C. S. Lui, Jiangchuan Liu

CoRR, 2024

2023

On Model Transmission Strategies in Federated Learning With Lossy Communications.

Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Jiangchuan Liu

IEEE Trans. Parallel Distributed Syst., April, 2023

2022

A Fast Blockchain-Based Federated Learning Framework With Compressed Communications.

Laizhong Cui, Xiaoxin Su, Yipeng Zhou

IEEE J. Sel. Areas Commun., 2022

CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing.

Laizhong Cui, Xiaoxin Su, Zhongxing Ming, Ziteng Chen, Shu Yang, Yipeng Zhou, Wei Xiao

IEEE Internet Things J., 2022

Optimal Rate Adaption in Federated Learning with Compressed Communications.

Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Jiangchuan Liu

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates.

Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan

IEEE J. Sel. Areas Commun., 2021

2020

ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning.

Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Lei Zhang

Proceedings of the IEEE Global Communications Conference, 2020