Federated Learning: Enhancing Privacy in Machine Learning Models
Understanding Federated Learning Federated learning is an innovative approach that allows multiple devices, servers, and clients to collaboratively train a machine learning model without sharing raw data. This method ensures that the privacy of individual data points remains intact while still benefiting from collective intelligence. How Data Aggregation Impacts Model Accuracy in Federated Learning One … Read more