FLEE-GNN-Reference-Cited by-同舟云学术

FLEE-GNN

Published:2023-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
language:
Short-container-title:

Author:

Qu Yuxiao¹^ORCID,Rao Jinmeng²^ORCID,Gao Song²^ORCID,Zhang Qianheng²^ORCID,Chao Wei-Lun³^ORCID,Su Yu³^ORCID,Miller Michelle⁴^ORCID,Morales Alfonso⁵^ORCID,Huber Patrick R.⁶^ORCID

Affiliation:

1. Department of Computer Science, Carnegie Mellon University and Geospatial Data Science lab, University of Wisconsin, Madison

2. Geospatial Data Science lab, University of Wisconsin, Madison

3. Department of Computer Science and Engineering, Ohio State University

4. Center for Integrated Agricultural Systems, University of Wisconsin, Madison

5. Department of Planning and Landscape Architecture, University of Wisconsin, Madison

6. Institute of the Environment, University of California, Davis

Funder

U.S. National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615886.3627742

Reference26 articles.

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2. Securing the food supply chain: understanding complex interdependence through agent-based simulation

3. Hong-You Chen and Wei-Lun Chao . 2020 . FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning . In International Conference on Learning Representations. Hong-You Chen and Wei-Lun Chao. 2020. FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning. In International Conference on Learning Representations.

4. What network motifs tell us about resilience and reliability of complex networks

5. The role of cross-silo federated learning in facilitating data sharing in the agri-food sector

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