A survey on federated learning: A perspective from multi-party computation

Federated learning (FL) has emerged as a popular machine learning paradigm which allows multiple data owners to train models collaboratively without sharing their raw datasets. It holds potential for a wide spectrum of analytics applications on sensitive data.

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