As a federated learning researcher, I love to see articles introducing the public to the idea. But this article is really drawing a comparison between the fediverse and federated learning that doesn’t make sense (to me).

Beyond the fact that data and compute are stored on separate servers, they really aren’t similar. Federated learning avoids sharing data by sharing gradients or model updates with a central aggregator; raw data does not leave your device. The fediverse enables easy sharing of data between servers and avoids a central server.

Additionally, this article makes it seem like medical researchers were inspired by the fediverse, but the FedAvg paper was released in 2016—two years before ActivityPub was introduced in 2018.

I enjoy writing with fountain pens, and I’ve got to justify the numerous pens and inks I have. I also find it helps me with recall and focus. So I take notes by hand most of the time.

Same. I chose programming.dev because it was close to my interests and seemed less likely to be drawn into federation drama. Losing Reddit already made me feel “homeless.” I was worried about choosing a home instance, and then being forced to create a new account all over again because of admins squabbling amongst each other and instance drama.

I recommend installing Obtainium. In Obtainium, click Add App and then paste the Codeberg URL for Infinity for Lemmy: https://codeberg.org/Bazsalanszky/Infinity-For-Lemmy

Obtainium will take care of installing and updating from various code repositories whether they’re hosted on GitHub or Codeberg or some other place.

I wouldn’t mind some shared content from quality communities, like the posts from the machine learning research community.