Federated Learning
Principles of Federated Learning
Federated learning is an emerging paradigm in machine learning that enables collaborative training of models across multiple decentralized devices or organizations without sharing raw data. This artic …
Federated Learning Applications and Challenges
Discover how federated learning is revolutionizing the way machine learning models are trained, enabling distributed collaboration among diverse data sources while addressing key challenges in privacy …
Privacy-Preserving Machine Learning
In this article, we delve into the world of privacy-preserving machine learning (PPML), focusing on federated learning as a key strategy for safeguarding sensitive data while still achieving high accu …