Using Domain-Augmented Federated Learning to Model Thermostatically Controlled Loads
Author:
Affiliation:
1. Department of Electrical Engineering, KU Leuven, Leuven, Belgium
2. Electrical and Computer Engineering, Tufts University, Medford, MA, USA
Funder
FWO, Belgium
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10226523/10040618.pdf?arnumber=10040618
Reference25 articles.
1. Advances and Open Problems in Federated Learning
2. Flower: A friendly federated learning research framework;beutel;arXiv 2007 14390,2020
3. Federated Learning
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