Industrial Federated Learning -- Requirements and System Design

14 May 2020Thomas HiesslDaniel SchallJana KemnitzStefan Schulte

Federated Learning (FL) is a very promising approach for improving decentralized Machine Learning (ML) models by exchanging knowledge between participating clients without revealing private data. Nevertheless, FL is still not tailored to the industrial context as strong data similarity is assumed for all FL tasks... (read more)

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