Jihong Park
Jihong Park
Associate Professor, SUTD, SMIEEE
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Cited by
Cited by
Blockchained on-device federated learning
H Kim, J Park, M Bennis, SL Kim
IEEE Communications Letters 24 (6), 1279-1283, 2019
Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data
E Jeong, S Oh, H Kim, J Park, M Bennis, SL Kim
NeurIPS 2018 Workshop on Machine Learning on the Phone and other Consumer …, 2018
Wireless network intelligence at the edge
J Park, S Samarakoon, M Bennis, M Debbah
Proceedings of the IEEE 107 (11), 2204-2239, 2019
Wireless access for ultra-reliable low-latency communication: Principles and building blocks
P Popovski, JJ Nielsen, C Stefanovic, E De Carvalho, E Strom, ...
Ieee Network 32 (2), 16-23, 2018
Communication-efficient and distributed learning over wireless networks: Principles and applications
J Park, S Samarakoon, A Elgabli, J Kim, M Bennis, SL Kim, M Debbah
Proceedings of the IEEE 109 (5), 796-819, 2021
Extreme ultra-reliable and low-latency communication
J Park, S Samarakoon, H Shiri, MK Abdel-Aziz, T Nishio, A Elgabli, ...
Nature Electronics 5 (3), 133-141, 2022
Towards enabling critical mMTC: A review of URLLC within mMTC
SR Pokhrel, J Ding, J Park, OS Park, J Choi
IEEE access 8, 131796-131813, 2020
Wireless edge computing with latency and reliability guarantees
MS Elbamby, C Perfecto, CF Liu, J Park, S Samarakoon, X Chen, ...
Proceedings of the IEEE 107 (8), 1717-1737, 2019
Tractable resource management with uplink decoupled millimeter-wave overlay in ultra-dense cellular networks
J Park, SL Kim, J Zander
IEEE Transactions on Wireless Communications 15 (6), 4362-4379, 2016
RIS-assisted coverage enhancement in millimeter-wave cellular networks
M Nemati, J Park, J Choi
IEEE Access 8, 188171-188185, 2020
XOR Mixup: Privacy-preserving data augmentation for one-shot federated learning
MJ Shin, C Hwang, J Kim, J Park, M Bennis, SL Kim
ICML 2020 Workshop on Federated Learning for User Privacy and Data …, 2020
16 federated knowledge distillation
H Seo, J Park, S Oh, M Bennis, SL Kim
Machine Learning and Wireless Communications 457, 2022
Communication-efficient massive UAV online path control: Federated learning meets mean-field game theory
H Shiri, J Park, M Bennis
IEEE Transactions on Communications 68 (11), 6840-6857, 2020
GADMM: Fast and communication efficient framework for distributed machine learning
A Elgabli, J Park, AS Bedi, M Bennis, V Aggarwal
Journal of Machine Learning Research 21 (76), 1-39, 2020
Massive autonomous UAV path planning: A neural network based mean-field game theoretic approach
H Shiri, J Park, M Bennis
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Asymptotic behavior of ultra-dense cellular networks and its economic impact
J Park, SL Kim, J Zander
2014 IEEE Global Communications Conference, 4941-4946, 2014
Stochastic geometric coverage analysis in mmWave cellular networks with realistic channel and antenna radiation models
M Rebato, J Park, P Popovski, E De Carvalho, M Zorzi
IEEE Transactions on Communications 67 (5), 3736-3752, 2019
Semantics-native communication via contextual reasoning
H Seo, J Park, M Bennis, M Debbah
IEEE Transactions on Cognitive Communications and Networking 9 (3), 604-617, 2023
URLLC-eMBB slicing to support VR multimodal perceptions over wireless cellular systems
J Park, M Bennis
2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018
Q-GADMM: Quantized group ADMM for communication efficient decentralized machine learning
A Elgabli, J Park, AS Bedi, CB Issaid, M Bennis, V Aggarwal
IEEE Transactions on Communications 69 (1), 164-181, 2020
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