Federated Short-Term Load Forecasting with Personalization Layers for
Heterogeneous Clients

Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients

22 September 2023

Kibaek Kim

Papers citing "Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients"

4 / 4 papers shown

Title
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 Sep 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications Grant Wilkins Sheng Di Jon C. Calhoun Zilinghan Li Kibaek Kim Robert Underwood Richard Mortier Franck Cappello FedML 32 2 0 20 Dec 2023
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation Shourya Bose Yu Zhang Kibaek Kim 19 3 0 21 Nov 2023
A Secure Federated Learning Framework for Residential Short Term Load Forecasting Muhammad Akbar Husnoo A. Anwar N. Hosseinzadeh S. Islam A. N. Mahmood R. Doss 54 33 0 29 Sep 2022