FedClusAvg is claimed to improve FDIA detection accuracy and communication efficiency under non-IID smart grid data, but the weighting formula contradicts the stated mechanism and the evidence is not reproducible.
Detection of false data injection attacks in smart grid: A secure federated deep learning approach,
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Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
FedClusAvg is claimed to improve FDIA detection accuracy and communication efficiency under non-IID smart grid data, but the weighting formula contradicts the stated mechanism and the evidence is not reproducible.