4 citations · 6 across the 8 of their papers we have counts for
8 papers
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
Rung-Hung Gau, Ting-Yu Wang, Chun-Hung Liu
In this paper, we study user association and wireless bandwidth allocation for a hierarchical federated learning system that consists of mobile users, edge servers, and a cloud ser…
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
Jwo-Yuh Wu, Liang-Chi Huang, Wen-Hsuan Li +2
Sparse subspace clustering (SSC) using greedy-based neighbor selection, such as orthogonal matching pursuit (OMP), has been known as a popular computationally-efficient alternative…
Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks
Chun-Hung Liu, Di-Chun Liang, Rung-Hung Gau +1
Federated learning (FL) is a promising distributed learning technique particularly suitable for wireless learning scenarios since it can accomplish a learning task without raw data…
A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular Networks
Chun-Hung Liu, Di-Chun Liang, Rung-Hung Gau
This paper aims to propose a three-dimensional (3D) point process that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network and tra…
A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas
Chun-Hung Liu, Di-Chun Liang, Md Asif Syed +1
This paper aims to propose a three-dimensional (3D) point process model that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network a…
Provable Noisy Sparse Subspace Clustering using Greedy Neighbor Selection: A Coherence-Based Perspective
Jwo-Yuh Wu, Wen-Hsuan Li, Liang-Chi Huang +3
Sparse subspace clustering (SSC) using greedy-based neighbor selection, such as matching pursuit (MP) and orthogonal matching pursuit (OMP), has been known as a popular computation…
Fusion-Based Cooperative Support Identification for Compressive Networked Sensing
Ming-Hsun Yang, Jwo-Yuh Wu, Tsang-Yi Wang +2
This paper proposes a fusion-based cooperative support identification scheme for distributed compressive sparse signal recovery via resource-constrained wireless sensor networks. T…
Ultra-Reliable and Low-Latency Communications Using Proactive Multi-cell Association
Chun-Hung Liu, Di-Chun Liang, Kwang-Cheng Chen +1
Attaining reliable communications traditionally relies on a closed-loop methodology but inevitably incurs a good amount of networking latency thanks to complicated feedback mechani…