FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
2/12/2026
No official code found. Best implementation: Ran-ZHU/FedTrans (5 stars, last commit 2024-03-20).
No official code found. Best implementation: Ran-ZHU/FedTrans (5 stars, last commit 2024-03-20).
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TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
@article{yang2026fedtrans,
title = {FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning},
author = {Mingkun Yang and Ran Zhu and Qing Wang and Jie Yang},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:552b252707b8d171cf392fae97d9d825da3ac768},
journal = {ICLR 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/552b252707b8d171cf392fae97d9d825da3ac768)