MASSIVELY SCALABLE, RESILIENT, AND ADAPTIVE FEDERATED LEARNING SYSTEM

A federated learning system is disclosed. The system includes scalable queues configured to receive model update contributions from a plurality of clients. The model update contributions contain updated model parameters. The system also includes a model repository configured to store a model for acc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: JIN, Hongwei, YAN, Ning, MORTAZAVI, Masood Seyed
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A federated learning system is disclosed. The system includes scalable queues configured to receive model update contributions from a plurality of clients. The model update contributions contain updated model parameters. The system also includes a model repository configured to store a model for access by a plurality of clients and receive the model with updates based on the updated model parameters. The system also includes a configuration repository configured to store model polices including an update threshold indicating how many responses need to be received from the plurality of clients to initiate an update of the model. The system also includes hierarchical aggregators configured to update the model based on the updated model parameters from the plurality of clients and based on the update threshold.