#Privacy

Tackling Data Imbalance in Federated Learning

How Fed-Focal Loss addresses one of the most challenging problems in distributed machine learning: handling imbalanced data across federated clients.

Decentralized AI: Privacy, Fairness, and the Future of Machine Learning

AI & Web3 Summit 2024

A keynote on the convergence of federated learning, blockchain, and decentralized systems for privacy-preserving AI

Building the Decentralized Data Economy: From Theory to Practice

Web3 Infrastructure Conference

How DePIN and blockchain technology are creating new models for data ownership and monetization