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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
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
Jiajun Huang, Sheng Di, Xiaodong Yu +12
With the ever-increasing computing power of supercomputers and the growing scale of scientific applications, the efficiency of MPI collective communication turns out to be a critic…