Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Angelia Nedic"'
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1141-1153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46cd0c28ae9729cca2727578d36608d
https://doi.org/10.1109/tcns.2022.3140698
https://doi.org/10.1109/tcns.2022.3140698
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:1128-1140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bbd6ff2a25dd0d5907b3dc29c3877f1
https://doi.org/10.1109/tcns.2022.3140683
https://doi.org/10.1109/tcns.2022.3140683
Publikováno v:
IEEE Transactions on Robotics. 38:71-91
This work considers the problem of resilient consensus, where stochastic values of trust between agents are available. Specifically, we derive a unified mathematical framework to characterize convergence, deviation of the consensus from the true cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9ff7269215b84a9fd342bf011e8d1f
https://doi.org/10.1109/tro.2021.3088054
https://doi.org/10.1109/tro.2021.3088054
Autor:
Sina Arefizadeh, Angelia Nedic
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8acd0a2d7abb3b182d0fa230b75b4d6
https://doi.org/10.1109/cdc51059.2022.9992746
https://doi.org/10.1109/cdc51059.2022.9992746
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e681ee0bcbdea25ddfaf68f4f7c022d4
https://doi.org/10.1109/cdc51059.2022.9992416
https://doi.org/10.1109/cdc51059.2022.9992416
Publikováno v:
IEEE Transactions on Automatic Control. 66:5342-5353
We study distributed algorithms for seeking a Nash equilibrium in a class of convex networked Nash games with strongly monotone mappings. Each player has access to her own smooth local cost function and can communicate to her neighbors in some undire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9cdc5ea1a7fffe6facebdb1be318bd
https://doi.org/10.1109/tac.2020.3046232
https://doi.org/10.1109/tac.2020.3046232
Autor:
Angelia Nedic, Ion Necoara
Publikováno v:
Computational Optimization and Applications. 80:121-152
In this paper we consider convex feasibility problems where the feasible set is given as the intersection of a collection of closed convex sets. We assume that each set is specified algebraically as a convex inequality, where the associated convex fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a521fc3eda444a236005d17b322ad20d
https://doi.org/10.1007/s10589-021-00294-3
https://doi.org/10.1007/s10589-021-00294-3
Publikováno v:
IEEE Transactions on Automatic Control. 66:1-16
In this article, we focus on solving a distributed convex optimization problem in a network, where each agent has its own convex cost function and the goal is to minimize the sum of the agents’ cost functions while obeying the network connectivity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee94a028fb0bbf8c7bd71fa649339847
https://doi.org/10.1109/tac.2020.2972824
https://doi.org/10.1109/tac.2020.2972824
Publikováno v:
Proceedings of the IEEE. 108:1863-1868
This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b770ccfcf71506bad6e257b4e2c62b45
https://doi.org/10.1109/jproc.2020.3031225
https://doi.org/10.1109/jproc.2020.3031225
Publikováno v:
IEEE/ACM Transactions on Networking. 28:2077-2091
We describe a distributed framework for resource sharing problems that arise in communications, micro-economics, and various networking applications. In particular, we consider a hierarchical multi-layer decomposition for network utility maximization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac6bf33e94a3169fd5bbca78d2225a44
https://doi.org/10.1109/tnet.2020.3003925
https://doi.org/10.1109/tnet.2020.3003925