Fldp: Flexible Strategy For Local Differential Privacy
Author:
Affiliation:
1. Renmin University,Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education,Beijing,China,100872
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747678.pdf?arnumber=9747678
Reference22 articles.
1. Collecting telemetry data privately;ding;Advances in neural information processing systems,2017
2. Locally differentially private protocols for frequency estimation;wang;Proc of the 26th USENIX Security Symposium,2017
3. Locally differentially private protocols for frequency estimation;wang;26th USENIX Security Symposium ( USENIX Security 17),2017
4. Private spatial data aggregation in the local setting
5. Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy
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3. Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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