FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning-Reference-Cited by-同舟云学术

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wang Zhen¹,Kuang Weirui¹,Xie Yuexiang¹,Yao Liuyi¹,Li Yaliang²,Ding Bolin²,Zhou Jingren²

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Alibaba Group, Bellevue, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539112

Reference43 articles.

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5. Keith Bonawitz , Hubert Eichner , Wolfgang Grieskamp , Dzmitry Huba , Alex Ingerman , Vladimir Ivanov , Chloé Kiddon , Jakub Konecný , Stefano Mazzocchi , Brendan McMahan , Timon Van Overveldt , David Petrou , Daniel Ramage , and Jason Roselander . 2019 . Towards Federated Learning at Scale: System Design . In Proceedings of Machine Learning and Systems. 374--388 . Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, and Jason Roselander. 2019. Towards Federated Learning at Scale: System Design. In Proceedings of Machine Learning and Systems. 374--388.

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