Signal Processing Systems
Dept. of Microelectronics

Wangyang Yu

Publications

  1. Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
    Yu, Wenrui; Li, Qiongxiu; Lopuhaä-Zwakenberg, Milan; Græsbøll Christensen, Mads; Heusdens, Richard;
    IEEE Transactions on Information Forensics and Security,
    Volume 20, pp. 822-838, 2025. DOI: 10.1109/TIFS.2024.3516564
    Keywords: ... Privacy;Peer-to-peer computing;Protocols;Servers;Optimization;Data models;Data privacy;Computational modeling;Topology;Iterative methods;Federated learning;privacy preservation;information theory;distribution optimization;ADMM;PDMM.

  2. Topology-Dependent Privacy Bound for Decentralized Federated Learning
    Li, Qiongxiu; Yu, Wenrui; Ji, Changlong; Heusdens, Richard;
    In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 5940-5944, 2024. DOI: 10.1109/ICASSP48485.2024.10446209
    Keywords: ... Privacy;Network topology;Federated learning;Signal processing;Robustness;Topology;Speech processing;Privacy;graph topology;peer-to-peer;decentralization;federated learning.

  3. On the Privacy Bound of Distributed Optimization and its Application in Federated Learning
    Li, Qiongxiu; Lopuhaä-Zwakenberg, Milan; Yu, Wenrui; Heusdens, Richard;
    In 2024 32nd European Signal Processing Conference (EUSIPCO),
    pp. 2232-2236, 2024. DOI: 10.23919/EUSIPCO63174.2024.10715187
    Keywords: ... Privacy;Federated learning;Neural networks;Linear regression;Linearity;Signal processing;Numerical simulation;Linear programming;Information leakage;Optimization.

  4. Distributed TDOA-based indoor source localisation
    Wangyang Yu; N.D. Gaubitch; R. Heusdens;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 6887-6891, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462262
    document

  5. Outer $(J_1,J_2)$-lossless factorizations of linear discrete time-varying systems
    X. Yu; J. Scherpen; A.J. van der Veen; P.M. Dewilde;
    In Proc. CDC,
    IEEE, pp. 2249-2254, December 1996.
    document

  6. Time-varying System Identification, J-lossless Factorization, and H$_\infty$ Control
    Xiaode Yu;
    PhD thesis, Delft Univ. of Technology, Delft, The Netherlands, May 1996.
    document

  7. A Class of Subspace Model Identification Algorithms to identify Periodically and Arbitrarily Time-Varying Systems
    M. Verhaegen; X. Yu;
    Automatica,
    Volume 31, Issue 2, pp. 201-216, 1995.

  8. Application of a Time-Varying Subspace Model Identification Scheme to the Identification of the Human Joint Dynamics
    X. Yu; M. Verhaegen;
    In Proc. European Control Conf.,
    Groningen, The Netherlands, pp. 603-608, June 1993.

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