Yicheng Li
PulseAugur coverage of Yicheng Li — every cluster mentioning Yicheng Li across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New frameworks enhance Federated Learning privacy, robustness, and efficiency · 4 sources tracked
Researchers are developing advanced frameworks for Federated Learning (FL) to enhance privacy, robustness, and efficiency. PRoVeFL utilizes multi-key fully homomorphic encryption across multiple servers to protect again…
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New analytic method characterizes kernel regression generalization error
Researchers have developed a new analytic functional argument to rigorously characterize the generalization error curves of kernel gradient descent and other spectral algorithms. This method provides a full understandin…
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New research advances federated learning with proactive client selection and privacy analysis
Researchers are exploring new methods to improve federated learning, a technique for training models across decentralized data sources while preserving privacy. One approach, "Choose Wisely and Privately," uses mutual i…