124 citations · 144 across the 14 of their papers we have counts for
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cs.LG2026
FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs
Lorenzo Sani, Zeyu Cao, Meghdad Kurmanji +5
Pre-training Large Language Models (LLMs) typically demands large-scale infrastructure with tightly coupled hardware accelerators. Mixture-of-Experts (MoEs) architectures partially…
cs.LG2026
Beyond Scaling: Agents Are Heading to the Edge
Chunlin Tian, Dongqi Cai, Wanru Zhao +1
The bottleneck of useful agentic intelligence has shifted from compressing world knowledge into a single model to executing a coordinated system. This position paper argues that pe…