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cs.DC2025
Embedding Samples Dispatching for Recommendation Model Training in Edge Environments
Guopeng Li, Haisheng Tan, Chi Zhang +5
Training deep learning recommendation models (DLRMs) on edge workers brings several benefits, particularly in terms of data privacy protection, low latency and personalization. How…
cs.DC2025
PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks
Huiyou Zhan, Xuan Zhang, Haisheng Tan +4
Large language models (LLMs), while driving a new wave of interactive AI applications across numerous domains, suffer from high inference costs and heavy cloud dependency. Motivate…