
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