Readit NewsThey should have asked Musk to send it space. It would have been beautiful to think ten more Pratchett novels are circling Earth for potentially thousands of years. He was a great author.
tanto commented on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data · Posted by u/niclane7
Charge per deployment is on-prem? You bring the hardware, they send you the software.
Hey wjnc, You can think of it how you can use GitLab on gitlab.com or deploy it yourself on-prem. The only difference being instead of per user we would charge per deployment. As in case of GitLab you can decide to host it yourself.
tanto commented on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data · Posted by u/niclane7
Another interesting use case - government training models on legislatively protected data (e.g. tax data). Lots of data the government holds is governed by confidentiality restrictions built into legislation, limiting its utility. Sounds like federated learning could be a way around that.
Absolutely, there are many cases where governments and generally large organisations can use Flower to internally train models on internal data silos. Often enough large organisations have all the incentives to utilize their own data but can't centralize it due to regulations.
tanto commented on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data · Posted by u/niclane7
Hey! Glad to see flower getting attention on hn.
I've been working on a project for over a year that uses flower to train cv models on medical data.
One aspect that we see being brought up again and again is how we can prove to our clients that no unnecessary data is being shared over the network.
Do you have any tips on solving that particular problem? I.e. proving that no data apart from model weights are being transferred to the centralized server?
Thanks a lot for the project.
edit: Just to clarify I am aware of differential privacy, I'm talking more on a "how to convince a medical institution that we are not sending its images over the network" level.
Hi guites, Thank you! That is undoubtedly something relatable. We have it on the screen and plan to provide helpful material and presentations helping to convince stakeholders. If you are up for a call to share the specific challenges, we could ideate with you.
tanto commented on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data · Posted by u/niclane7
I've been working with Flower to implement and study Federated Learning for a few years, and have just started contributing back on Slack and Github. Congrats on launching on HN!
Really happy to hear that and your support is much appreciated! I saw you answering many questions before we could do so :) Thank you for that. We are reaching out to all contributor. Let me know in Slack if you are up to a short call to understand better how we can support you.
tanto commented on Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data · Posted by u/niclane7
Very interesting project. Your write up here does a much better job of explaining the market need and value prop than the GitHub readme.md… consider bringing some of this text over as the “why / what” story?
Thank you! We'll make sure to improve the readme and add more explanation to it.
I don’t think either spectrum will be feasible for direct to cell satellite communication in the short term, though.