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RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
Zerui Li
, Yuchen Tian
, Weizhe Zhang
, Qing Liao
, Yang Liu
,
Xiaojiang Du
, Mohsen Guizani
Department of Electrical and Computer Engineering
Stevens Institute of Technology
Research output
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Contribution to specialist publication
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Article
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Keyphrases
Federated Learning
100%
Learning Scheme
100%
Privacy-enhanced
100%
Local Adaptive
100%
Randomized Response
100%
Internet of Everything
100%
Joint Differential Privacy
100%
Local Update
66%
Privacy Concerns
33%
Response Mechanism
33%
Data Training
33%
Malicious Attacks
33%
Differential Privacy
33%
User Privacy
33%
Multiple Devices
33%
Trusted Server
33%
Untrusted Server
33%
Connected Devices
33%
Promising Solution
33%
Privacy-preserving Approach
33%
Computer Science
Internet Of Everything
100%
Differential Privacy
100%
Learning Scheme
100%
Federated machine learning
100%
Privacy Concern
33%
Attackers
33%
Privacy Preserving
33%
Training Data
33%
User Privacy
33%
Multiple Device
33%
Connected Device
33%