23 citations · 58 across the 13 of their papers we have counts for
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cs.LG2022
A Convergence Theory for Federated Average: Beyond Smoothness
Xiaoxiao Li, Zhao Song, Runzhou Tao +1
Federated learning enables a large amount of edge computing devices to learn a model without data sharing jointly. As a leading algorithm in this setting, Federated Average FedAvg,…
cs.LG2021
Symmetric Sparse Boolean Matrix Factorization and Applications
Sitan Chen, Zhao Song, Runzhou Tao +1
In this work, we study a variant of nonnegative matrix factorization where we wish to find a symmetric factorization of a given input matrix into a sparse, Boolean matrix. Formally…
cs.LG2020★ 4 cited
InstaHide's Sample Complexity When Mixing Two Private Images
Baihe Huang, Zhao Song, Runzhou Tao +3
Training neural networks usually require large numbers of sensitive training data, and how to protect the privacy of training data has thus become a critical topic in deep learning…