Search Results for author: Liangliang Lin

Found 1 papers, 0 papers with code

Efficient and Secure Federated Learning for Financial Applications

no code implementations15 Mar 2023 Tao Liu, Zhi Wang, Hui He, Liangliang Lin, Wei Shi, Ran An, Chenhao Li

Experiments show that under different Non-IID experiment settings, our method can reduce the upload communication cost to about 2. 9% to 18. 9% of the conventional federated learning algorithm when the sparse rate is 0. 01.

Federated Learning

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