29 citations · 39 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Federated Empirical Risk Minimization via Second-Order Method
Song Bian, Zhao Song, Junze Yin
Many convex optimization problems with important applications in machine learning are formulated as empirical risk minimization (ERM). There are several examples: linear and logist…
cs.LG2023
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, Zhiwei Fan +1
We study the certifiable robustness of ML classifiers on dirty datasets that could contain missing values. A test point is certifiably robust for an ML classifier if the classifier…
cs.LG2020
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning
Kenta Nagura, Song Bian, Takashi Sato
Federated learning (FL) is a distributed learning protocol in which a server needs to aggregate a set of models learned some independent clients to proceed the learning process. At…