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Description
Federated Learning Market Report: Trends, Insights, and Forecast for 2030According 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
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.
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