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N. Yang, S. Wang, O. Huan, and C. Yin are with the Beijing Laboratory of Advanced Information Network, and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China (emails: {yangnuocheng, sihuawang, ouwenh, ccyin}@bupt.edu.cn).M. Chen is with the Department of Electrical and Computer Engineering and Institute for Data Science and Computing, University of Miami, Coral Gables, FL, 33146 USA (email: mingzhe.chen@miami.edu
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Orthogonal parameter updates and clustered aggregation can slash communication costs by 73% while boosting performance in federated LLM fine-tuning.
