Abstract: Federated learning (FL) emerged as a machine learning approach in situations where the privacy of sensitive data needs to be protected. Within the FL framework, clients collaborate to train ...
Abstract: To address privacy concerns of state-of-the-art centralized machine learning in non-intrusive load monitoring (NILM) applications, the adoption of federated learning (FL) has emerged as a ...
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