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20222025
most citedA Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

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cs.AR2025

Kelle: Co-design KV Caching and eDRAM for Efficient LLM Serving in Edge Computing

Tianhua Xia, Sai Qian Zhang

Running Large Language Models (LLMs) on edge devices is crucial for reducing latency, improving real-time processing, and enhancing privacy. By performing inference directly on the…