How big is the federated learning market?

Federated Learning Solutions Market was valued at USD 120.8 Mn in 2022 . It's predicted to increase and become worth USD 311.4 Mn by 2032.

What is Federated Learning?

Federated Learning is a machine learning approach that enables training models across decentralized devices or servers while keeping data localized. It allows models to be developed without centralizing raw data, thereby preserving privacy and reducing data transfer.

What is the Federated Learning Solutions market?

The Federated Learning Solutions market refers to the industry involved in providing software, tools, platforms, and services that facilitate the implementation of federated learning. This includes companies that offer frameworks for model aggregation, privacy-preserving techniques, and other tools to enable efficient federated learning.

Which companies are using federated learning?

Some of the companies that are using federated learning include: Google Apple Microsoft IBM Intel Owkin Intellegens Edge Delta Enveil Lifebit DataFleets Secure AI Labs Sherpa.AI

What is an example of federated learning?

One example of federated learning is the development of a fraud detection model for credit card companies. In this case, each credit card company would train a local model on its own data, and then the models would be aggregated to create a global model. This would allow the companies to detect fraud without having to share their sensitive data with each other.

Who started federated learning?

Federated learning was first proposed by Google in 2016.

Federated Learning Market Size, Share

Global Federated Learning Market By Deployment (Cloud and On-Premises), By Applications (Industrial Internet of Things, Data Privacy Management, Drug Discovery, Augmented and Virtual Reality, Risk Management, and Other Applications), By Industry Vertical (Automotive, BFSI, Retail, IT & Telecommunication, Healthcare & Life Science, Manufacturing, Other Industry verticals), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2023-2032

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