Federated Learning: Enhancing Privacy in Collaborative Model Training
Introduction to Federated Learning Federated Learning (FL) is a decentralized machine learning approach that enables multiple devices or organizations to collaboratively train models without sharing sensitive data. Instead of sending raw data to a central server, each participant trains a local model on their own data and only shares model parameters with a central server. […]
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