An Efficient Approach for Cross-Silo Federated Learning to Rank

Author:

Wang Yansheng,Tong Yongxin,Shi Dingyuan,Xu Ke

Funder

Research and Development

National Science Foundation

State Key Laboratory of Software Development Environment

Publisher

IEEE

Cited by 17 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. A survey on federated learning: a perspective from multi-party computation;Frontiers of Computer Science;2023-12-02

2. OneSketch: A Generic and Accurate Sketch for Data Streams;IEEE Transactions on Knowledge and Data Engineering;2023-12-01

3. Federated $k$-Dominant Skyline: An Efficient Approach Under Differential Privacy;2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS);2023-09-22

4. A novel Federated Computation approach for Artificial Intelligence applications in Delay and Disruption Tolerant Networks;2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW);2023-06-20

5. FA-Net: More Accurate Encrypted Network Traffic Classification Based on Burst with Self-Attention;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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