Results 31 to 40 of about 33,105 (188)
Privacy-Preserving Loyalty Programs [PDF]
Presented at the 9th DPM International Workshop on Data Privacy Management (DPM 2014, held on Sep. 10, 2014).
Blanco-Justicia, Alberto +1 more
openaire +2 more sources
Crowdsourced federated learning architecture with personalized privacy preservation
In crowdsourced federated learning, differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy preservation.
Yunfan Xu +3 more
doaj +1 more source
With the wide popularity of various sport items and the continuous prosperity of sport business, player transfer events are becoming more and more frequent, which gives birth to a big player transfer market with attractive attentions of spectators ...
Chao Liu +5 more
doaj +1 more source
Privacy-Preserving Restricted Boltzmann Machine [PDF]
With the arrival of the big data era, it is predicted that distributed data mining will lead to an information technology revolution. To motivate different institutes to collaborate with each other, the crucial issue is to eliminate their concerns regarding data privacy.
Yu Li, Yuan Zhang, Yue Ji
openaire +2 more sources
Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets
Determining how to balance data utilities and data privacy when datasets are released to be utilized outside the scope of data-collecting organizations constitutes a major challenge.
Surapon Riyana
doaj +1 more source
Electric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage.
Yiqi Liu, Jiaxin Ju, Zhiyi Li
doaj +1 more source
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification
Satellite images have drawn increasing interest from a wide variety of users, including business and government, ever since their increased usage in important fields ranging from weather, forestry and agriculture to surface changes and biodiversity ...
Munirah Alkhelaiwi +4 more
doaj +1 more source
Due to privacy concerns, multi-party gradient tree boosting algorithms have become widely popular amongst machine learning researchers and practitioners.
Kennedy Edemacu, Jong Wook Kim
doaj +1 more source
A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics
In multiagent dynamical systems, privacy protection corresponds to avoid disclosing the initial states of the agents while accomplishing a distributed task. The system-theoretic framework described in this paper for this scope, denoted dynamical privacy,
Altafini, Claudio
core +1 more source
Between the changing Industry 4.0 landscape and the rise of Industry 5.0, where human intelligence and intelligent machines work together, vast amounts of privacy-sensitive data are generated, processed, and exchanged, making them attractive targets of ...
Adib Habbal +4 more
doaj +1 more source

