Feijie Wu

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning

Towards Federated RLHF with Aggregated Client Preference for LLMs

Towards Poisoning Fair Representations

FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction

FedBiOT: a solution for federated large language model fine-tuning with intellectual property protection

One Training Fits All: Addressing Model-Heterogeneity Federated Learning via Architecture Probing