19 citations · 62 across the 19 of their papers we have counts for
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cs.DC2025
Distributed Retrieval-Augmented Generation
Chenhao Xu, Longxiang Gao, Yuan Miao +1
As large language models (LLMs) become increasingly adopted on edge devices, Retrieval-Augmented Generation (RAG) is gaining prominence as a solution to address factual deficiencie…
cs.DC2021★ 11 cited
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling
Shangming Cai, Dongsheng Wang, Haixia Wang +4
To reduce uploading bandwidth and address privacy concerns, deep learning at the network edge has been an emerging topic. Typically, edge devices collaboratively train a shared mod…