Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift

Federated Learning (FL) is an emerging domain in the broader context of artificial intelligence research. Methodologies pertaining to FL assume distributed model training, consisting of a collection of clients and a server, with the main goal of achieving optimal global model with restrictions on da...

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Hauptverfasser:	Ganguly, Bhargav, Aggarwal, Vaneet
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Systems and Control Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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