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Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity
Research article (Journal of Process Control, 2023) · cited 14× · AI/ML
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity
Summary
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity is a scholarly article[1].
Key Facts
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity. Retrieved May 24, 2026, from https://4ort.xyz/entity/finding-trustworthy-neighbors-graph-aided-federated-learning-for-few-shot-industrial-fault-diagnosis-with-data-heterogen
MLA“Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/finding-trustworthy-neighbors-graph-aided-federated-learning-for-few-shot-industrial-fault-diagnosis-with-data-heterogen.
BibTeX@misc{4ortxyz_finding-trustworthy-neighbors-graph-aided-federated-learning-for-few-shot-industrial-fault-diagnosis-with-data-heterogen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity}}, year = {2026}, url = {https://4ort.xyz/entity/finding-trustworthy-neighbors-graph-aided-federated-learning-for-few-shot-industrial-fault-diagnosis-with-data-heterogen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity — https://4ort.xyz/entity/finding-trustworthy-neighbors-graph-aided-federated-learning-for-few-shot-industrial-fault-diagnosis-with-data-heterogen (retrieved 2026-05-24)
