Author

Xianhao Chen

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Preprint Aug 2026

SplitLite: Low-Rank Residual Compression for Split Learning

SplitLite is proposed, a communication-efficient split federated LoRA fine-tuning method that exploits the low effective rank structure of consecutive-epoch activation and gradient residuals, thereby significantly reducing both activation uplink and gradient downlink traffic.

Tao Li, Yulin Tang, Qi Guo et al. · 0 citations

#machine learning Preprint Aug 2026

Efficient Resource Optimization for Split Federated Learning

This work establishes an efficient optimization framework for SFL under resource-constrained networks that jointly optimizes model splitting and resource allocation to minimize training cost, which is defined as the weighted sum of latency and energy costs.

Wei Wei, Xianhao Chen · 0 citations