z-logo
open-access-imgOpen Access
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
Author(s) -
Chaoyang He,
Emir Ceyani,
Keshav Balasubramanian,
Murali Annavaram,
Salman Avestimehr
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i6.20643
Subject(s) - computer science , de facto , graph , machine learning , artificial intelligence , network topology , artificial neural network , federated learning , training set , distributed computing , theoretical computer science , computer network , political science , law

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom