Federated learning for graph neural networks

This dissertation investigates the combination of graph neural networks (GNNs) and federated learning (FL) for addressing practical problems while preserving data privacy and reducing computational complexity. Specifically, we reproduce the Graph Clustered Federated Learning (GCFL) framework and...

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書目詳細資料
主要作者: Yan, Yige
其他作者: Tay Wee Peng
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/167083
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機構: Nanyang Technological University
語言: English