Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases

Sotiris Messinis, Nicholas Protonotarios, Ioannis N. Tzortzis, Ioannis Rallis, Dimitrios Kalogeras, Nikolaos Doulamis. Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023, Corfu, Greece, July 5-7, 2023. pages 638-644, ACM, 2023. [doi]

Abstract

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