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Power-Law Convergence in Federated Learning for Distributed Residential Load Forecasting

Autoren

Prof. Dr. rer. nat. Alexander Wallis
Alexander.Wallis@haw-landshut.de
Prof. Dr. rer. Nat. Sascha Hauke
Prof. Dr. Hannah Joerg
Hannah.Joerg@haw-landshut.de
Prof. Dr. Konstantin Ziegler
Konstantin.Ziegler@haw-landshut.de

Medien

International Journal on Advances in Systems and Measurements

Veröffentlichungsjahr

2025

Band

2025

Heft

3&4

Seiten

85-94

Veröffentlichungsart

Beitrag in Fachzeitschrift

Zitierung

Wallis, Alexander; Hauke, Sascha; Joerg, Hannah; Ziegler, Konstantin (2025): Power-Law Convergence in Federated Learning for Distributed Residential Load Forecasting. International Journal on Advances in Systems and Measurements 2025 (3&4), 85-94.

Peer Reviewed

Ja

Energie

Power-Law Convergence in Federated Learning for Distributed Residential Load Forecasting