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Yunheng Shen

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Review Open access Sep 2026

Federated Fine-Tuning of Large Language Models on Resource-Constrained Clients: Technical Approaches, Resource Costs, and Applicability

Federated fine-tuning adapts language models to distributed data and is widely adopted as a privacy-preserving alternative to centralized training, yet constrained clients must still store model weights and training states, execute updates, and communicate with a server. This review examines four composable routes---pa...

Yun-Heng Shen, Xiao Liu, Yang Yang et al. · 0 citations
Conference Jul 2026

PriFedDD: Federated Discrete Diffusion for Medical Image Generation with a Utility-Privacy Trade-Off

Generative modeling for medical imaging requires accurate representation of anatomical structures while limiting direct exposure of patient data in cross-institutional collaboration. Although continuous diffusion models have shown effectiveness in natural image generation, their Gaussian corruption process is less alig...

Yunheng Shen, Lingling Zheng, Hairong Lv · 0 citations

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