Local differential privacy and its applications: A comprehensive survey
With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …
generation wireless communication technologies, a tremendous amount of data has been …
A comprehensive survey on local differential privacy toward data statistics and analysis
T Wang, X Zhang, J Feng, X Yang - Sensors, 2020 - mdpi.com
Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
Privacy and robustness in federated learning: Attacks and defenses
As data are increasingly being stored in different silos and societies becoming more aware
of data privacy issues, the traditional centralized training of artificial intelligence (AI) models …
of data privacy issues, the traditional centralized training of artificial intelligence (AI) models …
Federated learning with differential privacy: Algorithms and performance analysis
Federated learning (FL), as a type of distributed machine learning, is capable of significantly
preserving clients' private data from being exposed to adversaries. Nevertheless, private …
preserving clients' private data from being exposed to adversaries. Nevertheless, private …
LDP-Fed: Federated learning with local differential privacy
This paper presents LDP-Fed, a novel federated learning system with a formal privacy
guarantee using local differential privacy (LDP). Existing LDP protocols are developed …
guarantee using local differential privacy (LDP). Existing LDP protocols are developed …
Local differential privacy-based federated learning for internet of things
The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …
Clustered federated learning with adaptive local differential privacy on heterogeneous iot data
The Internet of Things (IoT) is penetrating many aspects of our daily life with the proliferation
of artificial intelligence applications. Federated learning (FL) has emerged as a promising …
of artificial intelligence applications. Federated learning (FL) has emerged as a promising …
Interaction-level membership inference attack against federated recommender systems
The marriage of federated learning and recommender system (FedRec) has been widely
used to address the growing data privacy concerns in personalized recommendation …
used to address the growing data privacy concerns in personalized recommendation …
Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion
Z Qu, Y Tang, G Muhammad, P Tiwari - Information Fusion, 2023 - Elsevier
Federated learning is an effective technique to solve the problem of information fusion and
information sharing in intelligent vehicle networking. However, most of the existing federated …
information sharing in intelligent vehicle networking. However, most of the existing federated …
A secure and privacy preserved parking recommender system using elliptic curve cryptography and local differential privacy
The privacy preservation has received considerable attention from organizations as the
growing population is apprehensive regarding personal data being preserved. Smart …
growing population is apprehensive regarding personal data being preserved. Smart …