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Read: What's New in the 2023 Gartner Hype Cycle for Emerging Technologies
Federated machine learning aims at training a machine learning (ML) algorithm on multiple local datasets contained in local nodes without the explicit sharing of data samples. Federated ML helps to protect privacy, enables ML and specifically deep neural networks (DNNs) to use more data, resolves data transfer bottlenecks, and empowers collaborative learning for better accuracy.
Read: What's New in the 2023 Gartner Hype Cycle for Emerging Technologies
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