KVSAgg: Secure Aggregation of Distributed Key-Value Sets

Author:

Wu Yuhan1,Dong Siyuan1,Zhou Yi1,Zhao Yikai1,Fu Fangcheng1,Yang Tong1,Niu Chaoyue2,Wu Fan2,Cui Bin1

Affiliation:

1. Peking University,School of Computer Science, and National Engineering Laboratory for Big Data Analysis Technology and Application,Beijing,China

2. Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Cited by 5 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. Leveraging local data sampling strategies to improve federated learning;International Journal of Data Science and Analytics;2024-08-29

2. SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. HistSketch: A Compact Data Structure for Accurate Per-Key Distribution Monitoring;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. SketchConf: A Framework for Automatic Sketch Configuration;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

5. HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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