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AI solution for constrained edge gateways: An architectural approach

AI solution for constrained edge gateways: An architectural approach

HCLTech
Pages 23 Pages

This whitepaper outlines a lightweight AI architecture for constrained edge devices. It details model compression, adaptive inference, and federated learning techniques that enable real-time analytics on limited hardware. The design reduces latency and cloud dependency while maintaining accuracy. HCLTech’s approach integrates secure data handling, remote model updates, and scalable edge orchestration, making it ideal for industrial IoT, smart cities, and connected vehicle applications.

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