2 papers
cs.DC2026
EdgeCoInfer: Hierarchical Collaborative Inference for On-Device Multimodal Large Models
Lin Tan, Songtao Guo, Mingyan Li +1
To deliver ubiquitous intelligence, modern mobile applications increasingly execute concurrent Multimodal Large Language Models (MLLMs) on edge devices, presenting severe challenge…
cs.LG2025
FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment
Manning Zhu, Songtao Guo, Pengzhan Zhou +3
Federated fine-tuning (FFT) of large language models (LLMs) has recently emerged as a promising solution to enable domain-specific adaptation while preserving data privacy. Despite…