Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...
10 stories
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...
Long distance friendship does not need a better feed. It probably needs fewer reasons to perform and more small ways to be remembered.
Privacy is not only a settings page. It is also the shape of the room: who is there, what the app asks you to do, and whether there is anything to perform for.
Keeping in touch should not require keeping up with everything. We built Flare around small moments and a quieter way to catch up.
Staying close should not require a daily scroll. We are building Flare around smaller moments and a much smaller circle.
Sharing a picture with a friend should feel like sending it to a person, not placing it on a stage. That changes what belongs in the app.
Sharing a picture with a friend is small. The app around it should know when to stay small too.
An old search query points at a problem that still feels current: keeping a few friends easy to find without turning them into an audience.
Keeping in touch gets easier when sharing is small enough to do without performing. We are building Flare around that constraint.
Staying close is not a publishing problem. It may work better when a few specific people stay specific.
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