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On Bridging Generic and Personalized Federated Learning for Image Classification

By Hong-You Chen and Wei-Lun Chao
Federated learning is promising for its capability to collaboratively train models with multiple clients without accessing their data, but vulnerable when clients' data distributions diverge from each other. This divergence further leads to a dilemma: "Should we prioritize the learned model's generic performance (for future use at the server) or... Show more
July 11, 2022
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On Bridging Generic and Personalized Federated Learning for Image Classification
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