Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Author:
Affiliation:
1. Zhejiang University,The State Key Laboratory of Blockchain and Data Security,Hangzhou,China
2. College of Computer Science and Technology, Zhejiang University,Hangzhou,China
3. Aalborg University,Department of Computer Science,Aalborg,Denmark
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597721.pdf?arnumber=10597721
Reference42 articles.
1. Federated collaborative filtering for privacy-preserving personalized recommendation system;Ammad-Ud-Din;CoRR,2019
2. CONTRA: Defending Against Poisoning Attacks in Federated Learning
3. Machine learning with adversaries: Byzantine tolerant gradient descent;Blanchard
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