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Federated Learning Market Report: Trends, Insights, and Forecast for 2030
Federated Learning Market Report: Trends, Insights, and Forecast for 2030
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According to the study of Next Move Strategy Consulting, the Federated Learning Market is predicted to reach USD 264.24 million with a CAGR of 10.5% by 2030.
Federated learning is a type of machine learning that allows multiple devices to collaboratively train a model without having to share their data with each other or with a central server. Instead, the model is trained locally on each device using its own data, and then the updated model parameters are sent to a central server, where they are aggregated and used to improve the overall model.
Request For a Sample PDF: https://www.nextmsc.com/federated-learning-market/request-sample
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