1 code implementation • 26 Sep 2023 • Minh-Duong Nguyen, Quang-Vinh Do, Zhaohui Yang, Quoc-Viet Pham, Won-Joo Hwang
Recent research efforts on semantic communication have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems.
no code implementations • 9 Aug 2023 • Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham
This work for the first time investigates a resource allocation problem in collaborative sensing-assisted sustainable FL (S2FL) networks with the goal of minimizing the total completion time.
no code implementations • 29 Sep 2022 • Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen, Won-Joo Hwang
Moreover, leveraging the advantages of hierarchical network design, we propose a new label-driven knowledge distillation (LKD) technique at the global server to address the second problem.
no code implementations • 2 Jun 2022 • Xuan-Tung Nguyen, Minh-Duong Nguyen, Quoc-Viet Pham, Vinh-Quang Do, Won-Joo Hwang
Based on the property of a FL model, we first determine the number of IoT devices participating in the FL process.
1 code implementation • 14 Apr 2022 • Minh-Duong Nguyen, Sang-Min Lee, Quoc-Viet Pham, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang
Federated learning (FL) is a new artificial intelligence concept that enables Internet-of-Things (IoT) devices to learn a collaborative model without sending the raw data to centralized nodes for processing.
no code implementations • 16 Nov 2021 • Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
Recent advances in communication technologies and Internet-of-Medical-Things have transformed smart healthcare enabled by artificial intelligence (AI).
no code implementations • 17 Jun 2021 • Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang, Quoc-Viet Pham, Eryk Dutkiewicz, Won-Joo Hwang
In this work, we propose a novel framework to address straggling and privacy issues for federated learning (FL)-based mobile application services, taking into account limited computing/communications resources at mobile users (MUs)/mobile application provider (MAP), privacy cost, the rationality and incentive competition among MUs in contributing data to the MAP.
no code implementations • 20 Mar 2021 • Quoc-Viet Pham, Ming Zeng, Rukhsana Ruby, Thien Huynh-The, Won-Joo Hwang
Finally, simulations illustrate the potential of our proposed UAV-SFL approach in providing a sustainable solution for FL-based wireless networks, and in reducing the UAV transmit power by 32. 95%, 63. 18%, and 78. 81% compared with the benchmarks.
no code implementations • 15 Feb 2021 • Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Dusit Niyato, Eryk Dutkiewicz, Won-Joo Hwang
Finally, we highlight important challenges, open issues, and future research directions of TL in future wireless networks.
no code implementations • 20 Jan 2021 • Prabadevi B, Quoc-Viet Pham, Madhusanka Liyanage, N Deepa, Mounik VVSS, Shivani Reddy, Praveen Kumar Reddy Maddikunta, Neelu Khare, Thippa Reddy Gadekallu, Won-Joo Hwang
Electricity is one of the mandatory commodities for mankind today.
no code implementations • 10 Jan 2021 • Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab, Jun Zhao, Won-Joo Hwang
As the integration of unmanned aerial vehicles (UAVs) into visible light communications (VLC) can offer many benefits for massive-connectivity applications and services in 5G and beyond, this work considers a UAV-assisted VLC using non-orthogonal multiple-access.
no code implementations • 19 Aug 2020 • Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive number of connections, and various radio characteristics.
no code implementations • 30 Jul 2020 • Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili, Dinh Thai Hoang, Diep N. Nguyen, Pubudu N. Pathirana, Won-Joo Hwang
Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks.