Task-Aware Federated Fine-Tuning for MoE-based Large Language Models
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arXiv:2609.13395v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) has become a widely adopted architecture for Large Language Models (LLMs), as it improves model capacity while limiting computational overhead through sparse expert activation. This property makes MoE-based LLMs particularly a…
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- 2026-09-15 04:00 · arXiv cs.LG
Task-Aware Federated Fine-Tuning for MoE-based Large Language Models