GENE-FL uses Fisher information and layer-wise sensitivity analysis to condense local models into small learnGenes, reducing communication cost about 4x versus FedAvg while enabling rapid initialization of agnostic clients.
Calfat: Calibrated federated ad- versarial training with label skewness,
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GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning
GENE-FL uses Fisher information and layer-wise sensitivity analysis to condense local models into small learnGenes, reducing communication cost about 4x versus FedAvg while enabling rapid initialization of agnostic clients.