261 citations · 917 across the 5 of their papers we have counts for
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cs.LG2025★ 4 cited
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
Yang Li, Hanjie Wang, Yuanzheng Li +2
Wind power data often suffers from missing values due to sensor faults and unstable transmission at edge sites. While federated learning enables privacy-preserving collaboration wi…
cs.LG2021★ 229 cited
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li, Jiazheng Li, Yi Wang
Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables. Based on big historical data, a novel federated deep ge…