Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity

Author:

Zhang XiongtaoORCID,Wang JiORCID,Bao WeidongORCID,Peng Hao,Zhang YaohongORCID,Zhu XiaominORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference92 articles.

1. Federated optimization in heterogeneous networks;Li,2020

2. Towards cross-silo federated learning for corporate organizations;Kalloori;Knowl.-Based Syst.,2024

3. Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks;Li;Knowl.-Based Syst.,2024

4. Differential private knowledge transfer for privacy-preserving cross-domain recommendation;Chen,2022

5. Artificial intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the mdata model;Jia;Knowl.-Based Syst.,2023

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