Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in "VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning"
Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in "VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning"
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发表时间：
2022
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通讯作者：
Xiaojie Guo;Zheli Liu;Jin Li;Jiqiang Gao;Boyu Hou-;Changyu Dong;T. Baker
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文献类型：
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作者：
Xiaojie Guo;Zheli Liu;Jin Li;Jiqiang Gao;Boyu Hou-;Changyu Dong;T. Baker
这项工作解决了原始VeriFL协议中的安全缺陷，并提出了一个补丁协议，该协议是安全的，对任何静态恶意对手具有一定的阈值，只引入适度的修改，原来的协议。
This work addresses the security flaw in the original VeriFL protocol and proposes a patched protocol that is secure against any static malicious adversary with a certain threshold and only introduces moderate modifications to the original protocol.