Architecture guide for GDPR-compliant federated learning systems. Covers horizontal and vertical FL, aggregation strategies (FedAvg, FedProx), communication efficiency, secure aggregation, and differential privacy integration. Includes privacy guarantees analysis and deployment patterns for cross-organizational ML without data sharing.
日本語の概要は準備中です。原文の説明を表示しています。
mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新