Collaborative LLM inference on LEO satellite networks via model splitting, pipeline parallelism, and adaptive compression reduces inference delay by up to 42% and communication overhead by up to 71% with less than 1% accuracy loss.
Enhancing remote sensing image scene classification with satellite-terrestrial collaboration and attention-aware transmission policy,
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Communication-Efficient Collaborative LLM Inference over LEO Satellite Networks
Collaborative LLM inference on LEO satellite networks via model splitting, pipeline parallelism, and adaptive compression reduces inference delay by up to 42% and communication overhead by up to 71% with less than 1% accuracy loss.