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2025 ICML ICML 2025

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

Topics

Artificial Intelligence > Core AI > Multi-Agent Systems Machine Learning > Optimization & Theory > Optimization Deep Learning > Learning Types > Representation Learning

Keywords

federated learning differential privacy semantic space utility-privacy tradeoff privacy setting tensor low-rank proximal optimization
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