Security Analysis of SplitFed Learning

Split Learning (SL) and Federated Learning (FL) are two prominent distributed collaborative learning techniques that maintain data privacy by allowing clients to never share their private data with other clients and servers, and fined extensive IoT applications in smart healthcare, smart cities, and...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Momin Ahmad Khan, Shejwalkar, Virat, Houmansadr, Amir, Fatima Muhammad Anwar
Format:	Artikel
Sprache:	eng
Schlagworte:	Clients Empirical analysis Federated learning Poisoning Privacy
Online-Zugang:	Volltext
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