1 code implementation • 17 Mar 2022 • Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
To better show the outperformance of GAL, we experimentally validate the effectiveness and adaptability of different GAL strategies in different downstream tasks.
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