Improving Federated Learning Personalization via Model Agnostic Meta Learning

27 Sep 2019Yihan JiangJakub KonečnýKeith RushSreeram Kannan

Federated Learning (FL) refers to learning a high quality global model based on decentralized data storage, without ever copying the raw data. A natural scenario arises with data created on mobile phones by the activity of their users... (read more)

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