Federated Learning on Distributed Graphs Considering Multiple Heterogeneities
Author:
Affiliation:
1. East China Normal University,Shanghai,China
2. Peking University,Beijing,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447691.pdf?arnumber=10447691
Reference21 articles.
1. The Graph Neural Network Model
2. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
3. Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
4. Federated graph classification over non-iid graphs;Xie;Advances in Neural Information Processing Systems,2021
5. Over-the-Air Personalized Federated Learning
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