Think Locally, Act Globally: Federated Learning with Local and Global Representations

6 Jan 2020Paul Pu LiangTerrance LiuLiu ZiyinNicholas B. AllenRandy P. AuerbachDavid BrentRuslan SalakhutdinovLouis-Philippe Morency

Federated learning is a method of training models on private data distributed over multiple devices. To keep device data private, the global model is trained by only communicating parameters and updates which poses scalability challenges for large models... (read more)

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