Federated Learning with Verifiable Privacy and Trustworthy AI
FedTrust.ai is the academic gateway of Professor Yang Li’s research on Federated Learning, Zero-Trust Architecture, and Trustworthy AI for Power and Energy Systems. His work spans secure and privacy-preserving AI—such as verifiable federated learning for wind power data imputation—to large-scale optimization and stability assessment of energy systems. With a focus on practical deployment, Prof. Li's research bridges cutting-edge AI techniques and real-world challenges in resilient and secure cyber-physical energy infrastructures.
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