3 papers
cs.AI2026
Federated Reasoning Distillation Framework with Model Learnability-Aware Data Allocation
Wei Guo, Siyuan Lu, Xiangdong Ran +8
Data allocation plays a critical role in federated large language model (LLM) and small language models (SLMs) reasoning collaboration. Nevertheless, existing data allocation metho…
cs.LG2025
H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
Wei Guo, Siyuan Lu, Yiqi Tong +5
Different from existing federated fine-tuning (FFT) methods for foundation models, hybrid heterogeneous federated fine-tuning (HHFFT) is an under-explored scenario where clients ex…
cs.LG2025
Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
Wei Guo, Yiyang Duan, Zhaojun Hu +7
In vertical federated learning (VFL), multiple enterprises address aligned sample scarcity by leveraging massive locally unaligned samples to facilitate collaborative learning. How…