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Collaborations from the last five years
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Projects
- 1 Active
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Horizon-KDT-JU CLEVER: Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe
Kosta, S. (PI), Gaikwad, N. B. (Project Participant), Lübben, R. (Other), Witte, N. (Project Participant), yu, W. (Project Participant) & Gowda, D. K. T. (Project Participant)
01/01/2023 → 31/12/2025
Project: Research
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Byzantine-Resilient Federated Learning via Distributed Optimization
Xia, Y., Yu, W. & Li, Q., 2025, arXiv, 5 p.Research output: Working paper/Preprint › Preprint
Open AccessFile -
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Li, Q., Yu, W., Xia, Y. & Pang , J., 2025.Research output: Working paper/Preprint › Preprint
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Optimal Privacy-Preserving Distributed Median Consensus
Yu, W., Li, Q., Heusdens, R. & Kosta, S., 2025, arXiv, 5 p.Research output: Working paper/Preprint › Preprint
Open AccessFile -
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss
Yu, W., Heusdens, R., Pang , J. & Li, Q., 2025, (Accepted/In press) ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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On the Privacy Bound of Distributed Optimization and its Application in Federated Learning
Li, Q., Lopuhaä-Zwakenberg, M., Yu, W. & Heusdens, R., 2024, 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE (Institute of Electrical and Electronics Engineers), p. 2232-2236 5 p. (European Signal Processing Conference).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review