Asynchronous Online Federated Learning for Edge Devices

5 Nov 2019Yujing ChenYue NinMartin SlawskiHuzefa Rangwala

Federated learning (FL) is a machine learning paradigm where a shared central model is learned across distributed edge devices while the training data remains on these devices. Federated Averaging (FedAvg) is the leading optimization method for training non-convex models in this setting with a synchronized protocol... (read more)

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