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20232026
most citedFeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition

4 citations · 6 across the 8 of their papers we have counts for

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cs.AI2025

DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems

Wenqing Zhou, Yuxuan Yan, Qianqian Yang

Retrieval-Augmented Generation (RAG) improves factuality by grounding LLMs in external knowledge, yet conventional centralized RAG requires aggregating distributed data, raising pr…