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cs.LG2023
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han, Kumar Kshitij Patel, Han Shao +1
Federated learning is a machine learning protocol that enables a large population of agents to collaborate over multiple rounds to produce a single consensus model. There are sever…
cs.GT2023
Incentivized Collaboration in Active Learning
Lee Cohen, Han Shao
In collaborative active learning, where multiple agents try to learn labels from a common hypothesis, we introduce an innovative framework for incentivized collaboration. Here, rat…
cs.CR2023
CryptoMask : Privacy-preserving Face Recognition
Jianli Bai, Xiaowu Zhang, Xiangfu Song +4
Face recognition is a widely-used technique for identification or verification, where a verifier checks whether a face image matches anyone stored in a database. However, in scenar…