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

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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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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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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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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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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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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

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