Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Minh N. Dao"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 3, Pp 2329-2346 (2022)
This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL). The synchronous design relies on strict synchronization among users
Externí odkaz:
https://doaj.org/article/30f3dff847a2470a8f93ed32b8af353e
Autor:
Minh N. Dao, Hung M. Phan
Publikováno v:
Fixed Point Theory and Algorithms for Sciences and Engineering, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract Splitting algorithms for finding a zero of sum of operators often involve multiple steps which are referred to as forward or backward steps. Forward steps are the explicit use of the operators and backward steps involve the operators implici
Externí odkaz:
https://doaj.org/article/7592ed99eb9e43cd83e49b08a201b14b
Publikováno v:
Mathematics of Operations Research. 47:2415-2443
In this paper, we consider a broad class of nonsmooth and nonconvex fractional programs, where the numerator can be written as the sum of a continuously differentiable convex function whose gradient is Lipschitz continuous and a proper lower semicont
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:10322-10332
Infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications are often combined to extend the connectivity and coverage in the Intelligent Transportation System (ITS) and its applications, e.g., augmented reality, real-time parking man
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:1236-1246
Automotive infotainment systems are expected to be first deployed on highways to service drivers travelling long distances, who are more likely to utilize the infotainment applications. In order to meet the stringent requirements of the infotainment
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-11
Non-independent and identically distributed (non-IID) data distribution among clients is considered as the key factor that degrades the performance of federated learning (FL). Several approaches to handle non-IID data, such as personalized FL and fed
Publikováno v:
Vu, T T, Ngo, H-Q, Dao, M N, Matthaiou, M & Larsson, E G 2022, ' Data size-aware downlink massive MIMO: a session-based approach ', IEEE Wireless Communications Letters, vol. 11, no. 7, pp. 1468-1472 . https://doi.org/10.1109/LWC.2022.3174829
This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a session-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6fef5363abae227c71ca4657c1f065b
https://pure.qub.ac.uk/en/publications/decfc7f3-12c6-4b4e-b8f2-b912b8791df1
https://pure.qub.ac.uk/en/publications/decfc7f3-12c6-4b4e-b8f2-b912b8791df1
Publikováno v:
Journal of Optimization Theory and Applications. 190:201-233
We introduce a reformulation technique that converts a many-set feasibility problem into an equivalent two-set problem. This technique involves reformulating the original feasibility problem by replacing a pair of its constraint sets with their inter
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:15668-15681
In automotive infotainment systems, vehicles using the applications are serviced via continuous infrastructure-to-vehicle (I2V) communications. Additionally, the I2V communications can be combined with vehicle-to-vehicle (V2V) connectivity owing to t
Graph Augmentation Learning (GAL) provides outstanding solutions for graph learning in handling incomplete data, noise data, etc. Numerous GAL methods have been proposed for graph-based applications such as social network analysis and traffic flow fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d67d29648020a3a02ea040ff1370f7fb