Chaoyue Niu
Title
Cited by
Cited by
Year
Unlocking the value of privacy: Trading aggregate statistics over private correlated data
C Niu, Z Zheng, F Wu, S Tang, X Gao, G Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
302018
Achieving data truthfulness and privacy preservation in data markets
C Niu, Z Zheng, F Wu, X Gao, G Chen
IEEE Transactions on Knowledge and Data Engineering 31 (1), 105-119, 2018
302018
Trading data in good faith: Integrating truthfulness and privacy preservation in data markets
C Niu, Z Zheng, F Wu, X Gao, G Chen
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 223-226, 2017
262017
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey
R Gu, C Niu, F Wu, G Chen, C Hu, C Lv, Z Wu
ACM Computing Surveys 54 (1), 6:1-6:36, 2021
15*2021
Billion-scale federated learning on mobile clients: a submodel design with tunable privacy
C Niu, F Wu, S Tang, L Hua, R Jia, C Lv, Z Wu, G Chen
Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020
152020
Making big money from small sensors: Trading time-series data under pufferfish privacy
C Niu, Z Zheng, S Tang, X Gao, F Wu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 568-576, 2019
142019
Secure federated submodel learning
C Niu, F Wu, S Tang, L Hua, R Jia, C Lv, Z Wu, G Chen
arXiv preprint arXiv:1911.02254, 2019
112019
Online pricing with reserve price constraint for personal data markets
C Niu, Z Zheng, F Wu, S Tang, G Chen
IEEE Transactions on Knowledge and Data Engineering, 2020
72020
ERA: Towards privacy preservation and verifiability for online ad exchanges
C Niu, M Zhou, Z Zheng, F Wu, G Chen
Journal of Network and Computer Applications 98, 1-10, 2017
52017
An efficient, privacy-preserving, and verifiable online auction mechanism for Ad exchanges
M Zhou, C Niu, Z Zheng, F Wu, G Chen
2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015
52015
Distributed non-convex optimization with sublinear speedup under intermittent client availability
Y Yan, C Niu, Y Ding, Z Zheng, F Wu, G Chen, S Tang, Z Wu
arXiv preprint arXiv:2002.07399, 2020
32020
Toward Verifiable and Privacy Preserving Machine Learning Prediction
C Niu, F Wu, S Tang, S Ma, G Chen
IEEE Transactions on Dependable and Secure Computing, 1-1, 2020
22020
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data
C Niu, Z Zheng, F Wu, S Tang, X Gao, G Chen
IEEE Transactions on Knowledge and Data Engineering 33 (3), 975 - 990, 2021
12021
Distributed Optimization over Block-Cyclic Data
Y Ding, C Niu, Y Yan, Z Zheng, F Wu, G Chen, S Tang, R Jia
arXiv preprint arXiv:2002.07454, 2020
12020
Federated Submodel Averaging
Y Ding, C Niu, F Wu, S Tang, C Lv, Y Feng, G Chen
arXiv preprint arXiv:2109.07704, 2021
2021
Toward Understanding the Influence of Individual Clients in Federated Learning
Y Xue, C Niu, Z Zheng, S Tang, C Lv, F Wu, G Chen
arXiv preprint arXiv:2012.10936, 2020
2020
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Articles 1–16