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cs.LG2023
Fair Classifiers that Abstain without Harm
Tongxin Yin, Jean-François Ton, Ruocheng Guo +3
In critical applications, it is vital for classifiers to defer decision-making to humans. We propose a post-hoc method that makes existing classifiers selectively abstain from pred…
cs.LG2023★ 2 cited
Federated Learning with Reduced Information Leakage and Computation
Tongxin Yin, Xuwei Tan, Xueru Zhang +2
Federated learning (FL) is a distributed learning paradigm that allows multiple decentralized clients to collaboratively learn a common model without sharing local data. Although l…