Search Results - "Li, Qiongxiu" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

On the Privacy of Federated Clustering: a Cryptographic View

On the Privacy of Federated Clustering: a Cryptographic View

by Li, Qiongxiu, Luo, Lixia
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (14.04.2024)

Get full text

Conference Proceeding

Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

by Li, Qiongxiu, Heusdens, Richard, Christensen, Mads Graesboll
Published in IEEE transactions on signal processing (2020)

Get full text

Journal Article

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

by Li, Qiongxiu, Heusdens, Richard, Christensen, Mads Græsbøll
Published in Signal processing (01.05.2022)

Get full text

Journal Article

On the Privacy Effect of Data Enhancement via the Lens of Memorization

On the Privacy Effect of Data Enhancement via the Lens of Memorization

by Li, Xiao, Li, Qiongxiu, Hu, Zhanhao, Hu, Xiaolin
Published in IEEE transactions on information forensics and security (2024)

Get full text

Journal Article

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

by Jordan, Sebastian O., Li, Qiongxiu, Heusdens, Richard
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (14.04.2024)

Get full text

Conference Proceeding

Topology-Dependent Privacy Bound for Decentralized Federated Learning

Topology-Dependent Privacy Bound for Decentralized Federated Learning

by Li, Qiongxiu, Yu, Wenrui, Ji, Changlong, Heusdens, Richard
Published in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (14.04.2024)

Get full text

Conference Proceeding

Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks

Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks

by Li, Qiongxiu, Heusdens, Richard, Christensen, Mads Grasboll
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.05.2020)

Get full text

Conference Proceeding

On the privacy of federated Clustering: A Cryptographic View

On the privacy of federated Clustering: A Cryptographic View

by Li, Qiongxiu, Luo, Lixia
Year of Publication 13.12.2023

Get full text

Journal Article

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

by Jordan, Sebastian O, Li, Qiongxiu, Heusdens, Richard
Year of Publication 13.12.2023

Get full text

Journal Article

On the privacy of federated Clustering: A Cryptographic View

On the privacy of federated Clustering: A Cryptographic View

by Li, Qiongxiu, Luo, Lixia
Published in arXiv.org (13.12.2023)

Get full text

Paper

Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study

Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study

by Ji, Changlong, Maag, Stephane, Heusdens, Richard, Li, Qiongxiu
Year of Publication 21.09.2024

Get full text

Journal Article

Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss

Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss

by Yu, Wenrui, Heusdens, Richard, Pang, Jun, Li, Qiongxiu
Year of Publication 16.09.2024

Get full text

Journal Article

Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus

Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus

by Li, Qiongxiu, Gundersen, Jaron Skovsted, Lopuhaa-Zwakenberg, Milan, Heusdens, Richard
Published in arXiv.org (14.07.2024)

Get full text

Paper Journal Article

Topology-Dependent Privacy Bound For Decentralized Federated Learning

Topology-Dependent Privacy Bound For Decentralized Federated Learning

by Li, Qiongxiu, Yu, Wenrui, Ji, Changlong, Heusdens, Richard
Year of Publication 13.12.2023

Get full text

Journal Article

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

by Li, Qiongxiu, Heusdens, Richard, Christensen, Mads Græsbøll
Year of Publication 29.05.2021

Get full text

Journal Article

An Intelligent Innovation Dataset on Scientific Research Outcomes

An Intelligent Innovation Dataset on Scientific Research Outcomes

by Wu, Xinran, Zou, Hui, Xing, Yidan, Qu, Jingjing, Li, Qiongxiu, Xue, Renxia, Fu, Xiaoming
Year of Publication 10.09.2024

Get full text

Journal Article

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

by Li, Xiao, Sun, Wenxuan, Chen, Huanran, Li, Qiongxiu, Liu, Yining, He, Yingzhe, Shi, Jie, Hu, Xiaolin
Year of Publication 01.08.2024

Get full text

Journal Article

Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization

Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization

by Yu, Wenrui, Li, Qiongxiu, Lopuhaä-Zwakenberg, Milan, Christensen, Mads Græsbøll, Heusdens, Richard
Year of Publication 12.07.2024

Get full text

Journal Article

On the Privacy Effect of Data Enhancement via the Lens of Memorization

On the Privacy Effect of Data Enhancement via the Lens of Memorization

by Li, Xiao, Li, Qiongxiu, Hu, Zhanhao, Hu, Xiaolin
Year of Publication 17.08.2022

Get full text

Journal Article

Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing

Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing

by Li, Qiongxiu, Cascudo, Ignacio, Christensen, Mads Graesboll
Published in 2019 27th European Signal Processing Conference (EUSIPCO) (01.09.2019)

Get full text

Conference Proceeding