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cs.LG2026
Task-Aware Federated Fine-Tuning for MoE-based Large Language Models
Tingqi Wang, Hongyu Ke, Haoxin Wang +2
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 spar…
cs.LG2025
lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
Haoxin Wang, Xiaolong Tu, Hongyu Ke +3
Large Language Models (LLMs) are increasingly integrated into everyday applications, but their prevalent cloud-based deployment raises growing concerns around data privacy and long…