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FedACK: Federated Adversarial Contrastive Knowledge Distillation for
  Cross-Lingual and Cross-Model Social Bot Detection

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection

The Web Conference (WWW), 2023
10 March 2023
Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
    FedML
ArXiv (abs)PDFHTMLGithub (20★)

Papers citing "FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection"

2 / 2 papers shown
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster DiscoveryKnowledge Discovery and Data Mining (KDD), 2025
Buyun He
X. Jiang
Qi Wu
Hao Liu
Yingguang Yang
Yong Liao
251
4
0
01 Jun 2025
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
661
130
0
25 Feb 2021
1
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