FedMD: Heterogenous Federated Learning via Model Distillation

8 Oct 2019Daliang LiJunpu Wang

Federated learning enables the creation of a powerful centralized model without compromising data privacy of multiple participants. While successful, it does not incorporate the case where each participant independently designs its own model... (read more)

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