A Review of Privacy-preserving Federated Learning for the Internet-of-Things

24 Apr 2020Christopher BriggsZhong FanPeter Andras

The Internet-of-Things (IoT) generates vast quantities of data, much of it attributable to individuals' activity and behaviour. Gathering personal data and performing machine learning tasks on this data in a central location presents a significant privacy risk to individuals as well as challenges with communicating this data to the cloud... (read more)

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