Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning. - Shangchao Su; Bin Li 015; Xiangyang Xue 001 (CoRR, 2022)

Cross-domain Federated Adaptive Prompt Tuning for CLIP. - Shangchao Su; Mingzhao Yang; Bin Li 015; Xiangyang Xue 001 (CoRR, 2022)

Cross-domain Federated Object Detection. - Shangchao Su; Bin Li 015; Chengzhi Zhang; Mingzhao Yang; Xiangyang Xue 001 (ICME, 2023)

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model. - Mingzhao Yang; Shangchao Su; Bin Li 015; Xiangyang Xue 001 (CoRR, 2023)

Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning. - Shangchao Su; Haiyang Yu 004; Bin Li 015; Xiangyang Xue 001 (CoRR, 2023)

One-Shot Federated Learning with Classifier-Guided Diffusion Models. - Mingzhao Yang; Shangchao Su; Bin Li 015; Xiangyang Xue 001 (CoRR, 2023)

One-shot Federated Learning without server-side training. - Shangchao Su; Bin Li 015; Xiangyang Xue 001 (Neural Networks, 2023)

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. - Shangchao Su; Mingzhao Yang; Bin Li 015; Xiangyang Xue 001 (AAAI, 2024)

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. - Mingzhao Yang; Shangchao Su; Bin Li 015; Xiangyang Xue 001 (AAAI, 2024)

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients. - Shangchao Su; Bin Li 015; Xiangyang Xue 001 (ECCV (48), 2024)

FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models. - Mingzhao Yang; Shangchao Su; Bin Li 015; Xiangyang Xue 001 (ACM Multimedia, 2024)