Dec 6, 2022 · We make a case for a standard model of extracting, encoding, and forwarding features between nodes to carryout distributed, native ML inference ...

In a multi-node setup, a node can extract ML features and encode them in packets as metadata, which are then processed by another node (e.g., switch) to execute ...

We make a case for a standard model of extracting, encoding, and forwarding features between nodes to carryout distributed, native ML inference inside networks; ...

Dec 6, 2022 · The recent proliferation of programmable network equipment has opened up new possibilities for embedding intelligence into the data plane.

The Case for Native Multi-Node In-Network Machine Learning Lorenzo Bracciale (University of Rome Tor Vergata), Tushar Swamy (Stanford University), Muhammad ...

This white paper presents a number of views on the artificial intelligence (AI) native concept and discusses the background and context of AI native ...

Aug 29, 2024 · For example, node classification shows that his GNN significantly outperforms traditional machine learning methods on benchmark datasets.

Dec 20, 2022 · We investigate the different roles played by nodes' network and non-network attributes in explaining the formation of European university collaborations.

May 6, 2019 · What is a multi-headed model in deep learning? The only explanation I found so far is this: Every model might be thought of as a backbone plus a ...

Nov 10, 2023 · Collaborative Learning: Multiple devices or nodes might have different views or subsets of data. By participating in learning, they can ...