AI & ML impact 16

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion arXiv:2604.19015v1 Announce Type: cross Abstract: Federated fine-tuning of Large Language Models (LLMs) is obstructed by a trilemma o…

Why it matters

Worth watching closely: the interplay between federated and finetuning could reshape how organizations approach llms.

Read full article at arXiv AI →

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