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...
Gespeichert in:
Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2020-09, Vol.31 (9), p.3400-3413 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!