Life is about exploring

Qiongxiu Li

Assistant Professor

Department of Electronic Systems

Copenhagen Campus

Aalborg University, Denmark

Research Focus

Signal Processing

Distributed Optimization

Distributed Learning

Data Privacy

Contacts

qiongxiuli@outlook.com

qili@es.aau.dk

Frederikskaj 12
2450 København SV
Denmark

Blogs

A New Paradigm in Federated learning via the Hidden Subset Sum Problem
Privacy through Memorization: Traditional MIAs Produce Misleading Results
An Information-Theoretical and Empirical Study: Re-Evaluating Privacy in Federated Learning (Changlong' s master project)

Research & Thesis Projects (6-12 months)

My projects are research-driven scientific discovery, please check my blogs and publications if interested in more details. If you're enthusiastic about diving into research and pursuing a master's project or thesis within my areas, please send me an email with your cv and research interests.

News

[Aug. 2024] I will be giving a tutorial in EUSIPCO 2024 'Privacy-Preserving Distributed Optimization: Theory, Methods and Applications' together with Prof. Richard Heusdens, Here are the slides.
[Jan. 2024] Our paper on analyzing ML privacy and robustness privacy is accepted in IEEE Transactions on Information Forensics and Security.
[Dec. 2023]Three papers on privacy in federated learning and distributed optimization are accepted in ICASSP 2024.
[Dec. 2023] Our paper on privacy-preserving distributed average consensus using subspace perturbation is accepted in IEEE Transactions on Information Forensics and Security.
[May. 2022] Our paper on quantized privacy-preserving distributed average consensus is accepted in EUSIPCO 2022
[Mar. 2022] I gave a guest course lecture on 'Privacy-preserving distributed signal processing' in TUDelft for graduate students.
[Feb. 2022] Our paper on privacy-preserving distributed EM algorithm for GMM is accepted in ICASSP 2022.
[Jan. 2022] Our paper 'Communication Efficient Privacy-Preserving Distributed Optimization using Adaptive Differential Quantization' is accepted in Signal Processing.
[Aug. 2021] I successfully defended my PhD thesis entitled 'Privacy-preserving distributed processing over networks' on Aug. 30th [PDF], I am really honored to have Prof. Antonio G. Marques, Prof. Marc Moonen and Prof. Petar Popovski as my assessment committee.
[Mar. 2021] I gave a guest course lecture on 'Advanced topics in distributed signal processing' in TUDelft for graduate students.
[Jan. 2021] My presentation 'Privacy-Preserving Distributed Signal Processing 'won 3 minute thesis (3MT) contest in EUSIPCO 2020. [Link]
[Dec. 2020] Our paper "Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms" is accepted in IEEE Transactions on Information Forensics and Security.
[Oct. 2020] Our paper "Privacy-Preserving Distributed optimization via Subspace Perturbation: A General Framework" is accepted in IEEE Transactions on Signal Processing.
[Aug. 2020] I gave a talk (40 minutes presentation + 20 minutes Q&A) in SPSC webinar entitled as "Privacy-Preserving Distributed optimization via Subspace Perturbation: A General Framework." 2020. Video link.
[May 2020] Two papers about privacy-preserving distributed optimization and distributed graph filtering are accepted in EUSIPCO 2020.