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Sybil Attacks and Defense on Differential Privacy based Federated Learning
Research article (2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021) · cited 21× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Sybil Attacks and Defense on Differential Privacy based Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/sybil-attacks-and-defense-on-differential-privacy-based-federated-learning
MLA“Sybil Attacks and Defense on Differential Privacy based Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sybil-attacks-and-defense-on-differential-privacy-based-federated-learning.
BibTeX@misc{4ortxyz_sybil-attacks-and-defense-on-differential-privacy-based-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sybil Attacks and Defense on Differential Privacy based Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/sybil-attacks-and-defense-on-differential-privacy-based-federated-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sybil Attacks and Defense on Differential Privacy based Federated Learning — https://4ort.xyz/entity/sybil-attacks-and-defense-on-differential-privacy-based-federated-learning (retrieved 2026-05-24)