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Vaidyanathan Krishnamoorthy, Edge Inference Solutions Architect at Intel, presents the “Federated Edge Computing System Architectures” tutorial at the September 2020 Embedded Vision Summit.

With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and coordinate computing resources for edge inferencing. For example, to achieve scale and fault tolerance, design principles from cloud computing can be applied to create compute clusters at the edge that are managed by the cloud, an approach called “federated computing.”

In this talk, Krishnamoorthy explores a range of edge computing system architectures, with a focus on federated computing. He illustrates how these system architectures utilize Intel CPUs and accelerators to address real-world use cases in retail and industrial applications.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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