no code implementations • 17 May 2022 • Muhammad Farooq, Tung T. Vu, Hien Quoc Ngo, Le-Nam Tran
We propose a communication scheme that serves the downlink of the non-FL users (UEs) and the uplink of FL UEs in each half of the frequency band.
no code implementations • 20 Jul 2021 • Tung T. Vu, Hien Quoc Ngo, Thomas L. Marzetta, Michail Matthaiou
Federated learning (FL) has been considered as a promising learning framework for future machine learning systems due to its privacy preservation and communication efficiency.
2 code implementations • 14 Feb 2021 • Canh T. Dinh, Tung T. Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang
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).
1 code implementation • 4 Sep 2020 • Tung T. Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen H. Tran, Richard H. Middleton
We then develop a new algorithm that is proven to converge to the neighbourhood of the stationary points of the formulated problem.
Information Theory Information Theory
no code implementations • 27 Sep 2019 • Tung T. Vu, Duy T. Ngo, Nguyen H. Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton
This paper proposes a novel scheme for cell-free massive multiple-input multiple-output (CFmMIMO) networks to support any federated learning (FL) framework.
Signal Processing Information Theory Information Theory
no code implementations • 4 Aug 2015 • Tung T. Vu, Ha Hoang Kha, Trung Q. Duong, Nguyen-Son Vo
In order to maximize the weighted sum-rate (WSR) of the system subject to the transmitted power constraint, the design problem is to find the pre-coding matrices at BTS and the decoding matrices at MSs.