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20222025
most citedUnderstanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization

2 citations · 4 across the 6 of their papers we have counts for

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cs.LG2024

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference

Jinglong Luo, Guanzhong Chen, Yehong Zhang +6

With the growing deployment of pre-trained models like Transformers on cloud platforms, privacy concerns about model parameters and inference data are intensifying. Existing Privac…

cs.LG2024★ 2 cited

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization

Dun Zeng, Zheshun Wu, Shiyu Liu +3

Federated Learning (FL) is a distributed learning approach that trains machine learning models across multiple devices while keeping their local data private. However, FL often fac…