Rank-Two Correction and Fine-Tuning for Adaptive Byzantine Recovery in Federated Learning
IEEE INTERNET OF THINGS JOURNAL(2025)
关键词
Computational modeling,Training,Servers,Memory management,Computational efficiency,Adaptation models,Approximation training,Byzantine robustness,federated learning (FL),fine-tuning,Hessian approximation,rank-two correction matrix,rank-two correction matrix
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