Efficient Federated-Learning Model Debugging

Author:

Li Anran,Zhang Lan,Wang Junhao,Tan Juntao,Han Feng,Qin Yaxuan,Freris Nikolaos M.,Li Xiang-Yang

Funder

China National Funds for Distinguished Young Scientists

Fundamental Research Funds for the Central Universities

Tencent

Publisher

IEEE

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. FedViT: Federated continual learning of vision transformer at edge;Future Generation Computer Systems;2024-05

3. An Empirical Study on Noisy Label Learning for Program Understanding;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

4. RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-02-06

5. Pretraining Client Selection Algorithm Based on a Data Distribution Evaluation Model in Federated Learning;IEEE Access;2024

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