Federated learning in production (part 1)
Practical AI
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Federated Learning: A Shift in Machine Learning Paradigms
This chapter explores the concept of federated learning, emphasizing its significance in ensuring data privacy by training models at the data source rather than centralizing data. It also examines the challenges of trust, verification, and the various aggregation algorithms used to manage distributed data efficiently.
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