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papersTODAY 04:00 UTC

CIDERS: Cloud-Edge LLM Collaborative Learning Via Bilevel Optimization

Researchers propose a cloud-edge framework for collaborative large language model training and deployment. The approach accelerates personalized bilevel optimization to reconcile globally consistent models with locally adapted ones. It targets the difficulty existing cloud-edge systems have in balancing those two goals.

arxiv/cloud-edge/optimization/llm-deployment