Viewing profile — danieljanes

We're not "still" using Markdown, we're only getting started. Markdown is only going to get more popular as AI agents usage grows.

Flower Labs and Starcloud are sharing a major milestone: the successful execution of a decentralized AI workload using Flower on an operational Starcloud satellite.

ViT (Vision Transformer) fine-tuned on a Starcloud satellite in space (using the Flower framework) -- to the best of our knowledge, this is a world first: https://flower.ai/blog/20…

Not having to install CUDA is a killer feature, looking forward to DGX OS

Given the code quality and rigid testing, SQLite is probably the last project that should be rewritten. It'd be great to see all other C code rewritten first!

We use Pyenv successfully for developing the Flower open-source project. We use a few simple Bash scripts to manage virtual environments with different Python versions via pyenv an…

The big opportunity on the edge is access to more data. Especially with the rise of end-to-end encryption, applications will be able to use more (and more diverse) data on the edge…

I can confirm that we're seeing 2x to 3x faster (RPi 4 vs RPi 5) in some of our early tests

One of the Flower maintainers here. The code example is primarily meant as a demonstrator to show that it's possible to fine-tune these models in a federated way on devices as smal…

One of the Flower maintainers here, we're planning to follow up with a more in-depth performance comparison soon

Does GGML support training on the edge? We're especially interested in training support for Android+iOS

One of the creators of Flower here - I can only say that the team behind Flower appreciates the contributions of FedML to the field of federated learning. Their work helps to make …

Indeed - looking forward to this

Thanks for adding this here! We added these DP wrappers, and we're working on something similar for Secure Aggregation, but I must admit that we have to document them better to mak…