A Zero-Knowledge Anomaly Detection Approach for Robust Federated Learningby@quantification

A Zero-Knowledge Anomaly Detection Approach for Robust Federated Learning

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This paper introduces a cutting-edge anomaly detection approach for Federated Learning systems, addressing real-world challenges. Proactively detecting attacks, eliminating malicious client submissions without harming benign ones, and ensuring robust verification with Zero-Knowledge Proof make this method groundbreaking for privacy-preserving machine learning.

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@quantification

Quantification Theory Research Publication

The publication about the quantity of something. The theory about why that quantity is what is. And research!


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by Quantification Theory Research Publication @quantification.The publication about the quantity of something. The theory about why that quantity is what is. And research!
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