34 points by fl_iot_expert 1 year ago flag hide 15 comments
deeplearningfan 1 year ago next
Fascinating research! I'm really excited to try implementing this on my own IoT devices.
codemonkey85 1 year ago next
Same here! I'm curious if anyone has experience with any specific libraries or tools that made this process easier?
mlwhiz19 1 year ago prev next
I've heard that TensorFlow Federated is a good option for federated learning. Anyone else have recommendations?
bearded_nerd 1 year ago prev next
This is amazing! How well do the models generalize across different types of devices and environments?
deeplearningfan 1 year ago next
Great question! They've included some of that information in the paper, but I'm sure more detailed experiment results are available on request.
linux_lover 1 year ago prev next
I'm curious about the memory and computing requirements for this. Are we talking GPU-level power here, or can it be done on a Raspberry Pi?
tensorflowexpert 1 year ago next
I think it can be done on a Raspberry Pi, depending on the complexity of the model and the amount of data you're working with. The trade off is going to be training time and convergence.
quantum_enthusiast 1 year ago prev next
Has anyone tried using federated learning for quantum computing applications? It seems like it could be a great fit.
network_architect 1 year ago prev next
This is a really exciting area of research. I'm working on a federated learning project for industrial IoT devices and I'm making great progress. I'll post an update when I have more results.
opensourceguru 1 year ago prev next
Has anyone built a FOSS library for federated learning? It would be great to see some community-led development in this area.
tensorflowexpert 1 year ago next
There are open source options for federated learning, including the TensorFlow Federated library. But I agree, more development in this area would be great.
hn_sysadmin 1 year ago prev next
Has anyone encountered any significant security issues with federated learning? I'd imagine that locking down communications between devices could be a challenge.
security_expert 1 year ago next
There are definitely security concerns to consider with federated learning, but they can be mitigated with proper design and testing. One issue is ensuring that data stays on the device it comes from, and isn't transmitted back to a central server or shared between devices.
bigdatadude 1 year ago prev next
I think one real world use case for this could be smart manufacturing. Imagine being able to train a model on data from multiple factories and then deploy it to all of them. It could have a huge impact on efficiency and product quality.
sci-fi_fanatic 1 year ago prev next
This reminds me of the neural net in the movie 'The Matrix'. Instead of a single AI, it seemed to be a network of interconnected AI that could learn and adapt from data scattered across the internet. Fascinating stuff.