| Federated learning for edge networks: Resource optimization and incentive mechanism SR Pandey, LU Khan, NH Tran, W Saad, Z Han, MNH Nguyen, CS Hong, ... IEEE Communications Magazine 58 (10), 88-93, 2020 | 459 | 2020 |
| A Crowdsourcing Framework for On-Device Federated Learning SR Pandey, NH Tran, M Bennis, YK Tun, A Manzoor, CS Hong IEEE Transactions on Wireless Communications, 2020 | 299 | 2020 |
| Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach M Alsenwi, NH Tran, M Bennis, SR Pandey, AK Bairagi, CS Hong IEEE Transactions on Wireless Communications 20 (7), 4585-4600, 2021 | 281 | 2021 |
| An incentive mechanism for federated learning in wireless cellular networks: An auction approach THT Le, NH Tran, YK Tun, MNH Nguyen, SR Pandey, Z Han, CS Hong IEEE Transactions on Wireless Communications 20 (8), 4874-4887, 2021 | 159 | 2021 |
| Energy-efficient resource management in UAV-assisted mobile edge computing YK Tun, YM Park, NH Tran, W Saad, SR Pandey, CS Hong IEEE Communications Letters 25 (1), 249-253, 2020 | 148 | 2020 |
| Wireless network slicing: Generalized kelly mechanism-based resource allocation YK Tun, NH Tran, DT Ngo, SR Pandey, Z Han, CS Hong IEEE Journal on Selected Areas in Communications 37 (8), 1794-1807, 2019 | 92 | 2019 |
| A chance constrained based formulation for dynamic multiplexing of eMBB-URLLC traffics in 5G new radio M Alsenwi, SR Pandey, YK Tun, KT Kim, CS Hong 2019 International Conference on Information Networking (ICOIN), 108-113, 2019 | 54 | 2019 |
| Contract-based scheduling of URLLC packets in incumbent EMBB traffic A Manzoor, SMA Kazmi, SR Pandey, CS Hong IEEE Access 8, 167516-167526, 2020 | 45 | 2020 |
| A downlink resource scheduling strategy for URLLC traffic SR Pandey, M Alsenwi, YK Tun, CS Hong 2019 IEEE international conference on big data and smart computing (BigComp …, 2019 | 44 | 2019 |
| Incentivize to Build: A Crowdsourcing Framework for Federated Learning SR Pandey, NH Tran, M Bennis, YK Tun, Z Han, CS Hong 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 41 | 2019 |
| Energy-aware resource management for federated learning in multi-access edge computing systems CW Zaw, SR Pandey, K Kim, CS Hong IEEE Access 9, 34938-34950, 2021 | 35 | 2021 |
| Ruin theory for energy-efficient resource allocation in UAV-assisted cellular networks A Manzoor, K Kim, SR Pandey, SMA Kazmi, NH Tran, W Saad, CS Hong IEEE Transactions on Communications 69 (6), 3943-3956, 2021 | 32 | 2021 |
| Towards coexistence of cellular and WiFi networks in unlicensed spectrum: A neural networks based approach M Alsenwi, I Yaqoob, SR Pandey, YK Tun, AK Bairagi, L Kim, CS Hong IEEE Access 7, 110023-110034, 2019 | 32 | 2019 |
| Provenance-enabled packet path tracing in the RPL-based internet of things S Suhail, R Hussain, M Abdellatif, SR Pandey, A Khan, CS Hong Computer Networks 173, 107189, 2020 | 30 | 2020 |
| UAV-assisted multi-access edge computing system: An energy-efficient resource management framework M Alsenwi, YK Tun, SR Pandey, NN Ei, CS Hong 2020 International Conference on Information Networking (ICOIN), 214-219, 2020 | 30 | 2020 |
| Edge-assisted democratized learning toward federated analytics SR Pandey, MNH Nguyen, TN Dang, NH Tran, K Thar, Z Han, CS Hong IEEE Internet of Things Journal 9 (1), 572-588, 2021 | 29 | 2021 |
| Self-organizing democratized learning: Toward large-scale distributed learning systems MNH Nguyen, SR Pandey, TN Dang, EN Huh, NH Tran, W Saad, ... IEEE transactions on neural networks and learning systems 34 (12), 10698-10710, 2022 | 28 | 2022 |
| Ruin theory for dynamic spectrum allocation in LTE-U networks A Manzoor, NH Tran, W Saad, SMA Kazmi, SR Pandey, CS Hong IEEE Communications Letters 23 (2), 366-369, 2018 | 28 | 2018 |
| Joint radio resource allocation and content caching in heterogeneous virtualized wireless networks YK Tun, A Ndikumana, SR Pandey, Z Han, CS Hong IEEE Access 8, 36764-36775, 2020 | 22 | 2020 |
| A marketplace for trading ai models based on blockchain and incentives for iot data LD Nguyen, SR Pandey, S Beatriz, A Broering, P Popovski arXiv preprint arXiv:2112.02870, 2021 | 19 | 2021 |
Choong Seon Hong, FIEEESchool of Computing, Kyung Hee UniversityVerified email at khu.ac.kr
