Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

Federated learning allows multiple parties to jointly train a deep learning model on their combined data, without any of the participants having to reveal their local data to a centralized server. This form of privacy-preserving collaborative learning, however, comes at the cost of a significant com...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2020-09, Vol.31 (9), p.3400-3413
Hauptverfasser: Sattler, Felix, Wiedemann, Simon, Muller, Klaus-Robert, Samek, Wojciech
Format: Artikel
Sprache:eng
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