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An Introduction to Federated Learning: Challenges and Applications - viso.ai

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Viso Suite is the all-in-one solution for teams to build, deliver, scale computer vision applications. Viso Suite is the world’s only end-to-end computer vision platform. Request a demo. Federated learning is used for distributed training of machine learning algorithms on multiple edge devices without exchanging training data. Therefore, Federated learning introduces a new learning paradigm where statistical methods are trained at the edge in distributed networks. Read about the unique properties and associated challenges of federated learning; we will cover the following: About us: Viso.ai provides the leading end-to-end Computer Vision Platform Viso Suite. Global organizations use it to develop, deploy and scale distributed Computer Vision Applications that run at the Edge. Get a personal demo. Today, an immense number of connected devices, including mobile devices, wearables, and autonomous vehicles, generate massive amounts of data (Big Data). Due to the fast-growing computational

Viso Suite is the all-in-one solution for teams to build, deliver, scale computer vision applications. Viso Suite is the world’s only end-to-end computer vision platform. Request a demo. Federated learning is used for distributed training of machine learning algorithms on multiple edge devices without exchanging training data. Therefore, Federated learning introduces a new learning paradigm where statistical methods are trained at the edge in distributed networks. Read about the unique properties and associated challenges of federated learning; we will cover the following: About us: Viso.ai pr

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