Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
Federated learning systems facilitate the training of global models across large numbers of distributed edge-devices with potentially heterogeneous data. Such systems operate in resource constrained settings with intermittent client availability and/or time-varying communication constraints. As a re...
Gespeichert in:
Veröffentlicht in: | IEEE journal of selected topics in signal processing 2023-01, Vol.17 (1), p.1-17 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!