Federated Learning, Secure Multiparty Computation, and Data Privacy: Challenges, Legal Context, and Technical Solutions
This article provides a comprehensive overview of federated learning as an emerging AI technology, discussing data‑security incidents, relevant regulations such as GDPR and China’s Data Security Law, the core challenges of learning, privacy, communication and security, and presenting cryptographic solutions including homomorphic encryption, secret sharing and Google PAM.
