most citedsqSGD: Locally Private and Communication Efficient Federated Learning

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cs.LG2022★ 1 cited

sqSGD: Locally Private and Communication Efficient Federated Learning

Yan Feng, Tao Xiong, Ruofan Wu +2

Federated learning (FL) is a technique that trains machine learning models from decentralized data sources. We study FL under local notions of privacy constraints, which provides s…

cs.LG2021

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing

Hui Li, Xing Fu, Ruofan Wu +8

Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as compu…