MathEvaluating client contribution in Federated learning
Evaluating client contribution in Federated learning In the recent years federated learning has emerged as a powerful paradigm for training machine learning models across decentralized data sources, enabling collaborative intelligence without compromising data privacy. In this post, which follows a great introduction by Ziqi Wang on the topic of Federated learning, I address the […]Evaluating client contribution in Federated learning In the recent years federated learning has emerged as a powerful paradigm for training machine learning models across decentralized data sources, enabling collaborative intelligence without compromising data privacy. In this post, which follows a great introduction by Ziqi Wang on the topic of Federated learning, I address the […]
