ai-federated-learning
bymukul975· 115 skills
Implements federated learning architecture patterns for GDPR compliance. Covers secure aggregation protocols, differential privacy integration, communication protocols, and privacy-by-design distributed ML training. Keywords: federated learning, distributed training, secure aggregation, differential privacy, privacy-preserving ML.
How to install ai-federated-learning?
mukul975/privacy-data-protection-skills/ai-federated-learning
$npx -y skills add mukul975/privacy-data-protection-skills --skill ai-federated-learningInstalls into the current project.
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Run `npx skills use "https://github.com/mukul975/privacy-data-protection-skills" --skill "mukul975/privacy-data-protection-skills/ai-federated-learning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mukul975/privacy-data-protection-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mukul975/privacy-data-protection-skills"` and select the relevant skills, then follow their instructions.
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