| Blockchained on-device federated learning H Kim, J Park, M Bennis, SL Kim IEEE Communications Letters 24 (6), 1279-1283, 2019 | 869* | 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 | 613 | 2018 |
| Wireless network intelligence at the edge J Park, S Samarakoon, M Bennis, M Debbah Proceedings of the IEEE 107 (11), 2204-2239, 2019 | 605 | 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 | 442 | 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 | 193 | 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 | 176* | 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 | 167 | 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 | 159 | 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 | 130 | 2016 |
| RIS-assisted coverage enhancement in millimeter-wave cellular networks M Nemati, J Park, J Choi IEEE Access 8, 188171-188185, 2020 | 118 | 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 | 96 | 2020 |
| 16 federated knowledge distillation H Seo, J Park, S Oh, M Bennis, SL Kim Machine Learning and Wireless Communications, 457, 2022 | 95 | 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 | 90 | 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 | 77 | 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 | 75 | 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 | 74 | 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 | 73 | 2019 |
| Semantics-native communication via contextual reasoning H Seo, J Park, M Bennis, M Debbah IEEE Transactions on Cognitive Communications and Networking, 2023 | 68* | 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 | 63 | 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 | 56 | 2020 |
Bennis MehdiFull Professor, IEEE Fellow, Head of ICON, University of Oulu在 oulu.fi 的电子邮件经过验证
