AC²P²SL pipelines communication and computation across micro-batches in split learning, jointly optimizes splits and pre-allocation under constraints, and adds adaptive re-allocation for dynamic UEs to reduce overall training time.
Server-side local gradient aver- aging and learning rate acceleration for scalable split learning,
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A survey that introduces a unified training pipeline and taxonomizes split learning approaches for LLM fine-tuning across model, system, and privacy dimensions.
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AC$^2$P$^2$SL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks
AC²P²SL pipelines communication and computation across micro-batches in split learning, jointly optimizes splits and pre-allocation under constraints, and adds adaptive re-allocation for dynamic UEs to reduce overall training time.
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A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations
A survey that introduces a unified training pipeline and taxonomizes split learning approaches for LLM fine-tuning across model, system, and privacy dimensions.