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FedECPA:在基于区块链的联合学习中,针对基于扩展的模型中毒攻击的有效对策

Rukayat Olapojoye1, Tara Salman1, Mohamed Baza2

  • 1Department of Computer Science, Texas Tech University, Lubbock, TX 79409, USA.

Sensors (Basel, Switzerland)
|October 29, 2025
PubMed
概括

基于区块链的联合学习 (BFL) 易受扩大攻击的影响. 本研究介绍了FedECPA,这是一种有效的防御机制,可以保护BFL模型免受这些攻击,保持高精度.

关键词:
美国联邦银行PA FedECPA这就是为什么物联网物联网物联网.区块链区块链区块链区块链区块链联合学习的联合学习.基于缩放的模型中毒攻击.安全的安全的安全的安全的安全.智能合约是一个智能合约.

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