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Jihong Park
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Blockchained on-device federated learning
H Kim, J Park, M Bennis, SL Kim
IEEE Communications Letters 24 (6), 1279-1283, 2019
589*2019
Wireless network intelligence at the edge
J Park, S Samarakoon, M Bennis, M Debbah
Proceedings of the IEEE 107 (11), 2204-2239, 2019
5072019
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
4132018
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
3982018
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
1362021
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
128*2016
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
1132019
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
107*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
1002020
RIS-assisted coverage enhancement in millimeter-wave cellular networks
M Nemati, J Park, J Choi
IEEE Access 8, 188171-188185, 2020
792020
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
732014
GADMM: Fast and communication efficient framework for distributed machine learning
A Elgabli, J Park, AS Bedi, M Bennis, V Aggarwal
Deakin University, 2020
662020
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
642020
16 Federated Knowledge Distillation
H Seo, J Park, S Oh, M Bennis, SL Kim
Machine Learning and Wireless Communications, 457, 2022
612022
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
602019
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
562019
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
542018
Xor mixup: Privacy-preserving data augmentation for one-shot federated learning
MJ Shin, C Hwang, J Kim, J Park, M Bennis, SL Kim
arXiv preprint arXiv:2006.05148, 2020
502020
User-centric mobility management in ultra-dense cellular networks under spatio-temporal dynamics
J Park, SY Jung, SL Kim, M Bennis, M Debbah
2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016
482016
Massive UAV-to-ground communication and its stable movement control: A mean-field approach
H Kim, J Park, M Bennis, SL Kim
2018 IEEE 19th international workshop on signal processing advances in …, 2018
412018
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학술자료 1–20