11 citations · 16 across the 6 of their papers we have counts for
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cs.LG2021
On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy, Gal Eyal, Gal Chechik
In Federated Learning (FL), multiple clients collaborate to learn a shared model through a central server while keeping data decentralized. Personalized Federated Learning (PFL) fu…
cs.LG2020★ 1 cited
Teacher-Student Consistency For Multi-Source Domain Adaptation
Ohad Amosy, Gal Chechik
In Multi-Source Domain Adaptation (MSDA), models are trained on samples from multiple source domains and used for inference on a different, target, domain. Mainstream domain adapta…