Qiongxiu Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Privacy Preserving Classification

Convex Optimisation

Gaussian Mixture

Vertically Partitioned Data

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. CoRR (2024)
Qiongxiu Li, Lixia Luo
On the Privacy of Federated Clustering: a Cryptographic View. ICASSP (2024)
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 (2024)
Sebastian O. Jordan, Qiongxiu Li, Richard Heusdens
Privacy-Preserving Distributed Optimisation using Stochastic PDMM. ICASSP (2024)
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 (2024)
Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens
Topology-Dependent Privacy Bound for Decentralized Federated Learning. ICASSP (2024)
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 (2023)
Qiongxiu Li, Lixia Luo
On the privacy of federated Clustering: A Cryptographic View. CoRR (2023)
Qiongxiu Li, Wenrui Yu, Changlong Ji, Richard Heusdens
Topology-Dependent Privacy Bound For Decentralized Federated Learning. CoRR (2023)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. Signal Process. 194 (2022)
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)
Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu
On the Privacy Effect of Data Enhancement via the Lens of Memorization. CoRR (2022)
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 (2022)
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)
Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen
Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. CoRR (2021)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation. EUSIPCO (2020)
Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms. CoRR (2020)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. IEEE Trans. Signal Process. 68 (2020)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. CoRR (2020)
Qiongxiu Li, Mario Coutino, Geert Leus, Mads Græsbøll Christensen
Privacy-Preserving Distributed Graph Filtering. EUSIPCO (2020)
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks. ICASSP (2020)
Qiongxiu Li, Ignacio Cascudo, Mads Græsbøll Christensen
Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing. EUSIPCO (2019)
Qiongxiu Li, Mads Græsbøll Christensen
A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir's Secret Sharing. EUSIPCO (2019)
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)
Eunsoo Park, Weonjin Kim, Qiongxiu Li, Jungmin Kim, Hakil Kim
Fingerprint Liveness Detection Using CNN Features of Random Sample Patches. BIOSIG (2016)