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cs.DC2025
Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
Yuji Byun, Jaeho Lee
Low-rank adaptation (LoRA) offers an efficient alternative to full-weight adaptation in federated fine-tuning of language models, significantly reducing computational costs. By adj…
cs.DC2025
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
Yongjeong Oh, Jaeho Lee, Christopher G. Brinton +1
This paper proposes a novel communication-efficient split learning (SL) framework, named SplitFC, which reduces the communication overhead required for transmitting intermediate fe…