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cs.DC2026
SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning
Yimeng Shan, Zhaorui Zhang, Sheng Di +3
Federated Split Learning has been identified as an efficient approach to address the computational resource constraints of clients in classical federated learning, while guaranteei…
cs.DC2025
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
Qianli Liu, Zhaorui Zhang, Xin Yao +1
Federated learning systems have been identified as an efficient approach to scaling distributed model training with a large amount of participants or data owners while guaranteeing…