Xiaoxin Su

Orcid: 0000-0001-9514-1102

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China


According to our database1, Xiaoxin Su authored at least 11 papers between 2020 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Fed-GTopK: Expediting In-Network Federated Learning by Transmitting Global Top Model Updates.
IEEE Trans. Netw., 2026

2025
Toward Optimized Federated Learning With Compressed Communications by Rate Adaption.
IEEE Trans. Netw., 2025

2024
Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach.
IEEE J. Sel. Areas Commun., November, 2024

Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes.
Proceedings of the IEEE INFOCOM 2024, 2024

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
On Model Transmission Strategies in Federated Learning With Lossy Communications.
IEEE Trans. Parallel Distributed Syst., April, 2023

2022
A Fast Blockchain-Based Federated Learning Framework With Compressed Communications.
IEEE J. Sel. Areas Commun., 2022

CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing.
IEEE Internet Things J., 2022

Optimal Rate Adaption in Federated Learning with Compressed Communications.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates.
IEEE J. Sel. Areas Commun., 2021

2020
ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020


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