Exploring Distributed and Federated Machine Learning: Models, Applications, and Open Challenges
Distributed and federated machine learning is merged a critical paradigm to enabling scalable, efficient, and privacy-preserving artificial intelligence in contemporary datadriven ecosystems. With the ever-increasing complexity of machine learning models and the scale of datasets generated from a wide variety of source...