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 research details minimax and adaptive covariance matrix estimation under differential privacy
Researchers have developed new methods for estimating covariance matrices under differential privacy constraints. The study focuses on three nested classes of covariance matrices and considers two types of loss function…
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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…