#Federated Learning

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.

Fed-Focal Loss for Imbalanced Data Classification in Federated Learning

International Workshop on Federated Learning for User Privacy and Data Confidentiality (FL-IJCAI'20)

A presentation on applying Focal Loss to Federated Learning for handling imbalanced data classification

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