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How Federated Learning Is Helping to Overcome Obstacles in Machine Learning

January 23, 2023

Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data. It is being used across several industries, from mobile device keyboards to health care to autonomous vehicles to oil rigs. It is particularly useful in situations where data sharing is limited by regulation, or is sensitive or proprietary, as it allows organizations to collaborate on machine learning projects without sacrificing data privacy. It is also helpful in situations where data sizes are prohibitively large, making data centralization slow and costly.