Introduction Federated Learning is transforming how machine learning models are trained by eliminating the need to centralise sensitive data. Instead of collecting information in one place, it allows models to learn across distributed devices or servers while keeping the data local. This privacy-preserving method enables enterprises to train large-scale AI systems without compromising user confidentiality,... Continue Reading →