Projects per year
Personal profile
Research Interests
Information Theory, Communication Theory, Coding Theory, Computational Neuroscience for the Human Auditory System
Education/Academic qualification
PhD, Electrical and Computer Engineering, University of Illinois at Chicago
External positions
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Dive into the research topics where Stefano Rini is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 14 Finished
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用於高效通信的零星聯邦學習的編碼
Rini, S. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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用於高效通信的零星聯邦學習的編碼
Rini, S. (PI)
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
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用於高效通信的零星聯邦學習的編碼
Rini, S. (PI)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
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機器學習的隨機最佳化方法(1/2)
Rini, S. (PI)
1/01/22 → 31/12/22
Project: Government Ministry › Other Government Ministry Institute
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Distributed Convex Optimization With Communications Constraints
Rini, S. (PI)
1/08/21 → 31/07/22
Project: Government Ministry › Other Government Ministry Institute
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Adversarial VAE Sanitization for Privacy-Aware Data Sharing in Semiconductor Manufacturing
Garcia, L. F., Rini, S., Chang, S. C. & Hsu, Y. C., 2026, (Accepted/In press) In: IEEE Transactions on Semiconductor Manufacturing.Research output: Contribution to journal › Article › peer-review
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Deep attention for interpretable detection of organic pollutants in water using colloidal SERS
Kunanbayev, A., Hiramatsu, H., Chen, W. L., Huang, Y. C., Chang, Y. M. & Rini, S., Jun 2026, In: Artificial Intelligence Chemistry. 4, 1, 100102.Research output: Contribution to journal › Article › peer-review
Open Access -
DOA Estimation via Optimal Weighted Low-Rank Matrix Completion
Razavikia, S., Bokaei, M., Amini, A., Rini, S. & Fischione, C., 1 Apr 2026, In: IEEE Transactions on Vehicular Technology. 75, 4, p. 6191-6206 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
GCFed: Exploiting Gradient Correlation for Client Selection and Rate Allocation in Federated Learning
Liu, Y., Rini, S. & Chen, J., 15 Jul 2026, In: IEEE Internet of Things Journal. 13, 14, p. 30748-30763 16 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
SCKM: Symmetric Co-Skew Moment for User Selection in Federated Learning
Li, L., Liu, Y., Ning, Y., Rini, S. & Chen, J., Jun 2026, In: Entropy. 28, 6, 630.Research output: Contribution to journal › Article › peer-review
Open Access