谷歌浏览器插件
订阅小程序
在清言上使用

Rank-Two Correction and Fine-Tuning for Adaptive Byzantine Recovery in Federated Learning

IEEE INTERNET OF THINGS JOURNAL(2025)

引用 0|浏览10
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
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要