Transfer learning for linear regression with differential privacy by Yiming Hou, Yunquan Song, Zhijian Wang

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Preserving Differential Privacy for Similarity Measurement in Smart Environments by Kok-Seng Wong, Myung Ho Kim

“…We use similarity coefficient function FSC as the measurement metric for the comparison with differential privacy model. Unlike the existing solutions, our protocol can facilitate more than one request to compute FSC without modifying the protocol. …”
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Application of differential privacy to sensor data in water quality monitoring task by Audris Arzovs, Sergei Parshutin, Valts Urbanovics, Janis Rubulis, Sandis Dejus

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HRR: a data cleaning approach preserving local differential privacy by Qilong Han, Qianqian Chen, Liguo Zhang, Kejia Zhang

“…In this model, we add the local differential privacy mechanism in the process of data cleaning. …”
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Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy by Renwu Yan, Yang Zheng, Ning Yu, Cen Liang

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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

Subjects: “…Differential privacy…”
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A randomized block policy gradient algorithm with differential privacy in Content Centric Networks by Lin Wang, Xingang Xu, Xuhui Zhao, Baozhu Li, Ruijuan Zheng, Qingtao Wu

“…To solve the privacy protection problem, we add a differential privacy protection mechanism to the algorithm, and we prove that it preserves the ε -privacy level. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

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Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

Subjects: “…differential privacy…”
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Federated Learning in Data Privacy and Security by Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S. P. Raja

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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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K-Means Clustering with Local Distance Privacy by Mengmeng Yang, Longxia Huang, Chenghua Tang

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Differential Private POI Queries via Johnson-Lindenstrauss Transform by Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou

Subjects: “…Differential privacy…”
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Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism by Kai Zhang, Pei-Wei Tsai, Jiao Tian, Wenyu Zhao, Xinyi Cai, Longxiang Gao, Jinjun Chen

Subjects: “…differential privacy…”
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A Framework for Tradeoff Between Location Privacy Preservation and Quality of Experience in Location Based Services by Tianyi Feng, Zhixiang Zhang, Wai-Choong Wong, Sumei Sun, Biplab Sikdar

Subjects: “…Differential privacy…”
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A privacy budget adaptive optimization scheme for federated computing power Internet of things by MA Wenyu, CHEN Qian, HU Yuxiang, YAN Haonan, HU Tao, YI Peng

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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

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Comprehensive Review of Privacy, Utility, and Fairness Offered by Synthetic Data by A. Kiran, P. Rubini, S. Saravana Kumar

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