Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning
Summary
Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning is a scholarly article[1].
Key Facts
Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning'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). Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-and-persistent-backdoor-attack-by-boundary-trigger-set-constructing-against-federated-learning
MLA“Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-and-persistent-backdoor-attack-by-boundary-trigger-set-constructing-against-federated-learning.
BibTeX@misc{4ortxyz_efficient-and-persistent-backdoor-attack-by-boundary-trigger-set-constructing-against-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-and-persistent-backdoor-attack-by-boundary-trigger-set-constructing-against-federated-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient and persistent backdoor attack by boundary trigger set constructing against federated learning — https://4ort.xyz/entity/efficient-and-persistent-backdoor-attack-by-boundary-trigger-set-constructing-against-federated-learning (retrieved 2026-05-24)
