The U.S. National Institute of Standards and Technology released a blog discussing how to distribute input privacy in privacy-preserving federated learning systems. The post also provides information on data models, secure aggregation and homomorphic encryption methods for secure data management.
25 March 2024
NIST publishes guide to distribute input data within PPFL systems
Related stories
Notes from the Asia-Pacific region: China's AI Plus initiative accelerates AI integration
A view from Brussels: A wind of pragmatism
California governor signs law requiring in-browser opt-out preference signal
IP obfuscation popularity undermines privacy compliance strategies
Engineering GDPR compliance in the age of agentic AI