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Nguyen H. Tran
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Year
Federated learning over wireless networks: Optimization model design and analysis
NH Tran, W Bao, A Zomaya, MNH Nguyen, CS Hong
IEEE INFOCOM 2019-IEEE conference on computer communications, 1387-1395, 2019
4572019
Game theory for cyber security and privacy
CT Do, NH Tran, C Hong, CA Kamhoua, KA Kwiat, E Blasch, S Ren, ...
ACM Computing Surveys (CSUR) 50 (2), 1-37, 2017
2132017
Traffic-aware and energy-efficient vNF placement for service chaining: Joint sampling and matching approach
C Pham, NH Tran, S Ren, W Saad, CS Hong
IEEE Transactions on Services Computing 13 (1), 172-185, 2017
2082017
Personalized federated learning with moreau envelopes
C T Dinh, N Tran, J Nguyen
Advances in Neural Information Processing Systems 33, 21394-21405, 2020
2062020
Federated learning for edge networks: Resource optimization and incentive mechanism
LU Khan, SR Pandey, NH Tran, W Saad, Z Han, MNH Nguyen, CS Hong
IEEE Communications Magazine 58 (10), 88-93, 2020
1932020
Edge-computing-enabled smart cities: A comprehensive survey
LU Khan, I Yaqoob, NH Tran, SMA Kazmi, TN Dang, CS Hong
IEEE Internet of Things Journal 7 (10), 10200-10232, 2020
1712020
Joint communication, computation, caching, and control in big data multi-access edge computing
A Ndikumana, NH Tran, TM Ho, Z Han, W Saad, D Niyato, CS Hong
IEEE Transactions on Mobile Computing 19 (6), 1359-1374, 2019
1602019
Federated learning over wireless networks: Convergence analysis and resource allocation
CT Dinh, NH Tran, MNH Nguyen, CS Hong, W Bao, AY Zomaya, ...
IEEE/ACM Transactions on Networking 29 (1), 398-409, 2020
1562020
eMBB-URLLC resource slicing: A risk-sensitive approach
M Alsenwi, NH Tran, M Bennis, AK Bairagi, CS Hong
IEEE Communications Letters 23 (4), 740-743, 2019
1282019
A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing
CT Do, NH Tran, C Pham, MGR Alam, JH Son, CS Hong
2015 International Conference on Information Networking (ICOIN), 324-329, 2015
1252015
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 19 (5), 3241-3256, 2020
1172020
Mode selection and resource allocation in device-to-device communications: A matching game approach
SMA Kazmi, NH Tran, W Saad, Z Han, TM Ho, TZ Oo, CS Hong
IEEE Transactions on Mobile Computing 16 (11), 3126-3141, 2017
1062017
Resource allocation for ultra-reliable and enhanced mobile broadband IoT applications in fog network
SF Abedin, MGR Alam, SMA Kazmi, NH Tran, D Niyato, CS Hong
IEEE Transactions on Communications 67 (1), 489-502, 2018
1052018
Decentralized computation offloading and resource allocation for mobile-edge computing: A matching game approach
QV Pham, T Leanh, NH Tran, BJ Park, CS Hong
IEEE Access 6, 75868-75885, 2018
1002018
Network slicing: Recent advances, taxonomy, requirements, and open research challenges
LU Khan, I Yaqoob, NH Tran, Z Han, CS Hong
IEEE Access 8, 36009-36028, 2020
912020
Deep learning based caching for self-driving cars in multi-access edge computing
A Ndikumana, NH Tran, KT Kim, CS Hong
IEEE Transactions on Intelligent Transportation Systems 22 (5), 2862-2877, 2020
852020
Cell-free massive MIMO for wireless federated learning
TT Vu, DT Ngo, NH Tran, HQ Ngo, MN Dao, RH Middleton
IEEE Transactions on Wireless Communications 19 (10), 6377-6392, 2020
842020
How geo-distributed data centers do demand response: A game-theoretic approach
NH Tran, DH Tran, S Ren, Z Han, EN Huh, CS Hong
IEEE Transactions on Smart Grid 7 (2), 937-947, 2015
832015
A Fog based system model for cooperative IoT node pairing using matching theory
SF Abedin, MGR Alam, NH Tran, CS Hong
2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2015
802015
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
742021
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