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At network infrastructure aspect, we will discuss and demo our implementations of , a Framework. With Federated Learning in place, privacy is preserved by keeping all the user data on local device and only sending updates of “model” to server.

To have of a “Thing” using Web, we have introduced “” concept based on . This concept is explained through a demo using , and technologies.

To address the issue of resource restriction in constrained IoT devices and create Web interfaces, we have ported APIs from to , a platform based on the ultra-light engine by . The open gateway framework is based and targets at ’ with in mind.

This talk will walk you through the system we have built onsite using , from new device on-boarding to remote access. At each stage, privacy considerations will be addressed and our solutions will be explained.

: Concerns about the risks that the has posed on have been raised for a few years. legislations, such as , advocates "" and encourages us to re-prioritize when deploying technologies and building services. One promise of the platform is enhanced privacy in comparison to other technology stacks.

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