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Matrix-scaled consensus on socfb-Amherst41 dataset
- Citation Author(s):
-
Hoang MinhTrinh
AI Department, FPT University, Quy Nhon AI Campus, Binh Dinh, VietnamHuy HoangVuDepartment of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and TechnologyNhat-MinhLe-PhanDepartment of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and TechnologyNgoc QuyenNguyenDepartment of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology - Submitted by:
- Minh Trinh
- Last updated:
- Mon, 04/15/2024 - 01:17
- DOI:
- 10.21227/n39p-qa92
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Abstract
Simulation of the matrix-scaled consensus algorithm [1,2] on the network derived from the dataset socfb-Amherst41 [3,4].
References
[1] Trinh, M. H., Vu, D. V., Tran, Q. V., and Ahn, H.-S. "Matrix-scaled consensus." In Proc. of the 61st IEEE Conference on Decision and Control (CDC), pp. 346-351. IEEE, 2022. arXiv preprint arXiv:2204.10723 (2022)
[2] Trinh, M. H., Vu, H. H., Le-Phan, N.-M., and Nguyen, Q. N. "Matrix-Scaled Consensus over Undirected Networks." arXiv preprint arXiv:2303.14751 (2023).
[3] Rossi, Ryan, and Nesreen Ahmed. "The network data repository with interactive graph analytics and visualization." In Proceedings of the AAAI conference on artificial intelligence, vol. 29, no. 1. 2015.
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Version 1, April 15, 2024