FedML-IoT | Federated Learning on IoT Devices

 by   FedML-AI Python Version: Current License: No License

kandi X-RAY | FedML-IoT Summary

kandi X-RAY | FedML-IoT Summary

FedML-IoT is a Python library typically used in Internet of Things (IoT) applications. FedML-IoT has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)
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            kandi-support Support

              FedML-IoT has a low active ecosystem.
              It has 10 star(s) with 5 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              FedML-IoT has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FedML-IoT is current.

            kandi-Quality Quality

              FedML-IoT has 0 bugs and 8 code smells.

            kandi-Security Security

              FedML-IoT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              FedML-IoT code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              FedML-IoT does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              FedML-IoT releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 287 lines of code, 12 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed FedML-IoT and discovered the below as its top functions. This is intended to give you an instant insight into FedML-IoT implemented functionality, and help decide if they suit your requirements.
            • Load data .
            • registers a new device
            • Initialize training device .
            • Create a model .
            • Argument parser .
            Get all kandi verified functions for this library.

            FedML-IoT Key Features

            No Key Features are available at this moment for FedML-IoT.

            FedML-IoT Examples and Code Snippets

            No Code Snippets are available at this moment for FedML-IoT.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FedML-IoT

            The following commands are running on Raspberry Pi 4. After the above commands, please follow the script install-arm.sh. Note: This script has been tested on Raspberry Pi 4 (RPI 4). We welcome users to contribute more scripts for new IoT platforms. We currently support PyTorch 1.4 for Raspberry Pi 4. If you need newer verion of PyTorch, please compile the wheel file using method here: https://nmilosev.svbtle.com/compling-arm-stuff-without-an-arm-board-build-pytorch-for-the-raspberry-pi. To make sure your PyTorch + RPI environment is ready, please have a check as follows.
            Please check here: fedml_iot/pytorch-pkg-on-jetson-nano/README.md.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/FedML-AI/FedML-IoT.git

          • CLI

            gh repo clone FedML-AI/FedML-IoT

          • sshUrl

            git@github.com:FedML-AI/FedML-IoT.git

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