2 papers
cs.LG2026
Out-of-Distribution Federated Distillation with Domain-Aware Proxy
Jiahao Xiao, Jiangming Liu
Federated Learning is a distributed machine learning paradigm that trains a global model by aggregating local clients without sharing private data of each client. Federated Distill…
cs.CL2025
Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data
Jiahao Xiao, Jiangming Liu
The widespread success of pre-trained language models has established a new training paradigm, where a global PLM is fine-tuned using task-specific data from local clients. The loc…