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Qiongxiu Li
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Journal Articles
- 2024
- [j5]Qiongxiu Li
, Jaron Skovsted Gundersen
, Milan Lopuhaä-Zwakenberg
, Richard Heusdens
:
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus. IEEE Trans. Inf. Forensics Secur. 19: 1780-1793 (2024) - [j4]Xiao Li
, Qiongxiu Li
, Zhanhao Hu
, Xiaolin Hu
:
On the Privacy Effect of Data Enhancement via the Lens of Memorization. IEEE Trans. Inf. Forensics Secur. 19: 4686-4699 (2024) - 2022
- [j3]Qiongxiu Li
, Richard Heusdens, Mads Græsbøll Christensen
:
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. Signal Process. 194: 108456 (2022) - 2021
- [j2]Qiongxiu Li
, Jaron Skovsted Gundersen
, Richard Heusdens
, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms. IEEE Trans. Inf. Forensics Secur. 16: 2090-2103 (2021) - 2020
- [j1]Qiongxiu Li
, Richard Heusdens
, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. IEEE Trans. Signal Process. 68: 5983-5996 (2020)
Conference and Workshop Papers
- 2024
- [c12]Qiongxiu Li, Lixia Luo:
On the Privacy of Federated Clustering: a Cryptographic View. ICASSP 2024: 4865-4869 - [c11]Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens:
Topology-Dependent Privacy Bound for Decentralized Federated Learning. ICASSP 2024: 5940-5944 - [c10]Sebastian O. Jordan, Qiongxiu Li, Richard Heusdens:
Privacy-Preserving Distributed Optimisation using Stochastic PDMM. ICASSP 2024: 8571-8575 - 2022
- [c9]Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Richard Heusdens, Mads Græsbøll Christensen:
Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization. EUSIPCO 2022: 2166-2170 - [c8]Qiongxiu Li
, Jaron Skovsted Gundersen
, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation. ICASSP 2022: 4263-4267 - 2020
- [c7]Qiongxiu Li
, Richard Heusdens, Mads Græsbøll Christensen
:
Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation. EUSIPCO 2020: 2110-2114 - [c6]Qiongxiu Li
, Mario Coutino, Geert Leus, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Graph Filtering. EUSIPCO 2020: 2155-2159 - [c5]Qiongxiu Li
, Richard Heusdens, Mads Græsbøll Christensen
:
Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks. ICASSP 2020: 5895-5899 - 2019
- [c4]Qiongxiu Li
, Mads Græsbøll Christensen
:
A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir's Secret Sharing. EUSIPCO 2019: 1-5 - [c3]Qiongxiu Li
, Ignacio Cascudo
, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing. EUSIPCO 2019: 1-5 - 2016
- [c2]Qiongxiu Li, Changlong Jin, Weonjin Kim, Jungmin Kim, Shengzhe Li, Hakil Kim:
Multi-feature based score fusion method for fingerprint recognition accuracy boosting. APSIPA 2016: 1-4 - [c1]Eunsoo Park, Weonjin Kim, Qiongxiu Li, Jungmin Kim, Hakil Kim:
Fingerprint Liveness Detection Using CNN Features of Random Sample Patches. BIOSIG 2016: 321-328
Informal and Other Publications
- 2024
- [i9]Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens:
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. CoRR abs/2407.09324 (2024) - 2023
- [i8]Qiongxiu Li, Jaron Skovsted Gundersen, Milan Lopuhaä-Zwakenberg, Richard Heusdens:
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus. CoRR abs/2312.07947 (2023) - [i7]Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens:
Topology-Dependent Privacy Bound For Decentralized Federated Learning. CoRR abs/2312.07956 (2023) - [i6]Qiongxiu Li, Lixia Luo:
On the privacy of federated Clustering: A Cryptographic View. CoRR abs/2312.07992 (2023) - 2022
- [i5]Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu:
On the Privacy Effect of Data Enhancement via the Lens of Memorization. CoRR abs/2208.08270 (2022) - [i4]Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation. CoRR abs/2209.07833 (2022) - 2021
- [i3]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. CoRR abs/2105.14416 (2021) - 2020
- [i2]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. CoRR abs/2004.13999 (2020) - [i1]Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms. CoRR abs/2009.01098 (2020)
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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