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.
Towards space intelligence: Adaptive scheduling of satellite-ground collaborative model inference with space edge computing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.