niclane7

4 ms·

1.
by niclane7 1mo ago
Yes, this is key
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by niclane7 1mo ago
true. And all of us are finding RSI is a great lever to explore.
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The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators(arxiv.org)
3 points by niclane7 3mo ago|0 comments
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by niclane7 3y ago
Flower - https://flower.dev/ | Multiple Positions | Remote-first, also Germany and UK | Full-time | REMOTE, VISA Flower is an open-source framework, ecosystem and community for training and using AI on distri
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by niclane7 4y ago
It is reasonable to think of it that way. Certainly high-level information from the data is extracted and embedded within a model, but only the information necessary for the model being trained. Whereas if the data itself was being sent, th
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by niclane7 4y ago
Flower has an agreement to develop interoperable components with OpenFL. This is part of the broader plan by Intel to work with a consortium of players (that includes Flower Labs) and have the output code sit with the Linux Foundation. Enab
7.
by niclane7 4y ago
Thanks for the question, very natural to ask. We are also fans of PySft. It offers support for a very wide range of privacy enhancing machine learning tools. But where Flower and PySft differ is in focus. Federated learning is difficult and
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by niclane7 4y ago
Yes, this would be exciting to see. One approach wouldn't require federated learning however. If you had direct access to the data then you could build a conventionally trained large language model (i.e., collect all the data together
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by niclane7 4y ago
Regarding federated labeling, you might be interested in some recent prototypes built on Flower that use forms of self supervised learning. By combining SSL with federated learning we can start to leverage unlabeled data and this will be a
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by niclane7 4y ago
Yes, we have developed modular and efficient secure aggregation and differential privacy solutions that can help people dial in the amount of protection they need. We have documented an early version of the secure aggregation here: http
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Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
180 points by niclane7 4y ago|69 comments
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by niclane7 5y ago
This is cool. Nice graphic. I like this event they are talking about on the site. I plan to go.