Zero-Knowledge-Proof-Based Anomaly Detection: Problem Settingby@quantification

Zero-Knowledge-Proof-Based Anomaly Detection: Problem Setting

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This section outlines the threat model for Federated Learning, considering malicious clients and proposing an anomaly detection mechanism. Preliminary techniques like Krum, m-Krum, and the three sigma rule are introduced. The section also highlights the application of Zero-Knowledge Proofs (ZKPs) for ensuring correctness, soundness, and zero-knowledge, essential for robust security in Federated Learning systems.

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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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