Making federated learning robust to adversarial attacks by learning data and model association

Research article (Computers & Security, 2022) · cited 35× · AI/ML
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Making federated learning robust to adversarial attacks by learning data and model association

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Making federated learning robust to adversarial attacks by learning data and model association is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Making federated learning robust to adversarial attacks by learning data and model association. Retrieved May 24, 2026, from https://4ort.xyz/entity/making-federated-learning-robust-to-adversarial-attacks-by-learning-data-and-model-association
MLA “Making federated learning robust to adversarial attacks by learning data and model association.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/making-federated-learning-robust-to-adversarial-attacks-by-learning-data-and-model-association.
BibTeX @misc{4ortxyz_making-federated-learning-robust-to-adversarial-attacks-by-learning-data-and-model-association_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Making federated learning robust to adversarial attacks by learning data and model association}}, year = {2026}, url = {https://4ort.xyz/entity/making-federated-learning-robust-to-adversarial-attacks-by-learning-data-and-model-association}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Making federated learning robust to adversarial attacks by learning data and model association — https://4ort.xyz/entity/making-federated-learning-robust-to-adversarial-attacks-by-learning-data-and-model-association (retrieved 2026-05-24)

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