SECAGG: Practical Secure Aggregation for Privacy-Preserving Machine Learning

发表于2023-10-05|更新于2023-10-05|Federated Learning

|字数总计:67|阅读时长:1分钟|阅读量:|评论数:

SECAGG有很多好的论文阅读总结：

https://zhuanlan.zhihu.com/p/445656765（看完这篇就能理解的差不多了）

https://blog.csdn.net/SXxtyz/article/details/114982898（有比较详细的每轮操作说明）

https://www.cnblogs.com/20189223cjt/p/12529827.html（）

[https://blog.csdn.net/qq_37734256/article/details/104223580](

文章作者: Esther

文章链接: http://example.com/2023/10/05/SECAGG-Practical-Secure-Aggregation-for-Privacy-Preserving-Machine-Learning/

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secure aggregation

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