BYTES AND BRAINS v0.3.0 . CRATES.IO
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RESEARCH

publications, position papers, and the writing behind the substrate

// POSITION_PAPER

BytesAndBrains: A Substrate for Networked Machine Learning

The substrate for composing federated learning, gossip learning, peer-to-peer inference, and split inference on the same runtime does not exist in the open ecosystem. This paper describes one that does. The framework authorizes computation as a partitionable graph, owns the bytes between nodes, and treats every distributed strategy as a placement and binding problem on the same surface.

Further papers, on the protocols and primitives built atop the substrate, will appear here as they are published. Each will link to its implementation in the library and to a walkthrough on the blog.

The library these papers live on top of is on GitHub.