Shangchao Su

Orcid: 0000-0001-9925-1114

According to our database1, Shangchao Su authored at least 11 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients.
Proceedings of the Computer Vision - ECCV 2024, 2024

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
One-shot Federated Learning without server-side training.
Neural Networks, July, 2023

One-Shot Federated Learning with Classifier-Guided Diffusion Models.
CoRR, 2023

Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning.
CoRR, 2023

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model.
CoRR, 2023

Cross-domain Federated Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Cross-domain Federated Adaptive Prompt Tuning for CLIP.
CoRR, 2022

Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning.
CoRR, 2022


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