Article

Federated Learning for Power Cyber-Physical Systems: Toward Secure, Resilient, and Explainable Intelligence

2025-09-17

Abstract excerpt

The digital transformation of power cyber-physical systems (CPSs) introduces unprecedented opportunities for optimization, forecasting, and real-time control, while simultaneously exposing critical vulnerabilities in data security, system resilience, and operator trust. Federated Learning (FL) provides a promising paradigm by enabling collaborative intelligence without raw data sharing, yet traditional approaches...

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Literature Corpus work: 8a7df214-96e1-5635-b14a-8c9d164d5d7d
DOI: 10.20944/preprints202509.1447.v1

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