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How (and why) federated learning enhances cybersecurity
Federated learning’s popularity is rapidly increasing because it addresses common development-related security concerns.
They can exploit the lack of visibility and broad attack surface to inject bias, conduct prompt engineering or exfiltrate sensitive training data. The advantage here is twofold — while threat actors are left guessing since they cannot easily exfiltrate data, professionals pool insights for highly accurate output. This technique could improve accuracy and performance and strengthen their security posture as long as they strategically navigate potential insider threats or breach risks.
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