| Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data S Itahara, T Nishio, Y Koda, M Morikura, K Yamamoto IEEE Transactions on Mobile Computing 22 (1), 191-205, 2021 | 296 | 2021 |
| Hybrid-FL for wireless networks: Cooperative learning mechanism using non-IID data N Yoshida, T Nishio, M Morikura, K Yamamoto, R Yonetani ICC 2020-2020 IEEE International Conference On Communications (ICC), 1-7, 2020 | 199 | 2020 |
| Proactive received power prediction using machine learning and depth images for mmWave networks T Nishio, H Okamoto, K Nakashima, Y Koda, K Yamamoto, M Morikura, ... IEEE Journal on Selected Areas in Communications 37 (11), 2413-2427, 2019 | 116 | 2019 |
| A comprehensive survey of potential game approaches to wireless networks K Yamamoto IEICE Transactions on Communications, 1804-1823, 2015 | 97 | 2015 |
| Deep reinforcement learning-based channel allocation for wireless lans with graph convolutional networks K Nakashima, S Kamiya, K Ohtsu, K Yamamoto, T Nishio, M Morikura IEEE Access 8, 31823-31834, 2020 | 87 | 2020 |
| Handover management for mmWave networks with proactive performance prediction using camera images and deep reinforcement learning Y Koda, K Nakashima, K Yamamoto, T Nishio, M Morikura IEEE Transactions on Cognitive Communications and Networking 6 (2), 802-816, 2019 | 86 | 2019 |
| Hybrid-fl: Cooperative learning mechanism using non-iid data in wireless networks N Yoshida, T Nishio, M Morikura, K Yamamoto, R Yonetani arXiv preprint arXiv:1905.07210, 2019 | 76 | 2019 |
| Communication-efficient multimodal split learning for mmWave received power prediction Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura, ... IEEE Communications Letters 24 (6), 1284-1288, 2020 | 66 | 2020 |
| Optimal transmission scheduling for a hybrid of full-and half-duplex relaying K Yamamoto, K Haneda, H Murata, S Yoshida IEEE Communications Letters 15 (3), 305-307, 2011 | 65 | 2011 |
| Differentially private aircomp federated learning with power adaptation harnessing receiver noise Y Koda, K Yamamoto, T Nishio, M Morikura GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 58 | 2020 |
| Reinforcement learning based predictive handover for pedestrian-aware mmWave networks Y Koda, K Yamamoto, T Nishio, M Morikura IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 58 | 2018 |
| IEEE 802.11 ah based M2M networks employing virtual grouping and power saving methods K Ogawa, M Morikura, K Yamamoto, T Sugihara IEICE Transactions on Communications 96 (12), 2976-2985, 2013 | 53 | 2013 |
| Tradeoff between area spectral efficiency and end-to-end throughput in rate-adaptive multihop radio networks K Yamamoto, S Yoshida IEICE transactions on communications 88 (9), 3532-3540, 2005 | 44 | 2005 |
| Impact of shadowing correlation on coverage of multihop cellular systems K Yamamoto, A Kusuda, S Yoshida 2006 IEEE International Conference on Communications 10, 4538-4542, 2006 | 40 | 2006 |
| Proactive handover based on human blockage prediction using RGB-D cameras for mmWave communications Y Oguma, T Nishio, K Yamamoto, M Morikura IEICE Transactions on Communications 99 (8), 1734-1744, 2016 | 39 | 2016 |
| Machine-learning-based throughput estimation using images for mmWave communications H Okamoto, T Nishio, M Morikura, K Yamamoto, D Murayama, K Nakahira 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-6, 2017 | 35 | 2017 |
| Proactive base station selection based on human blockage prediction using RGB-D cameras for mmWave communications Y Oguma, R Arai, T Nishio, K Yamamoto, M Morikura 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 34 | 2015 |
| Analysis and design specifications for full-duplex radio transceivers under RF oscillator phase noise with arbitrary spectral shape V Syrjälä, K Yamamoto, M Valkama IEEE Transactions on Vehicular Technology 65 (8), 6782-6788, 2015 | 31 | 2015 |
| Performance comparison between channel-bonding and multi-channel CSMA L Xu, K Yamamoto, S Yoshida 2007 IEEE Wireless Communications and Networking Conference, 406-410, 2007 | 29 | 2007 |
| Decentralized and model-free federated learning: Consensus-based distillation in function space A Taya, T Nishio, M Morikura, K Yamamoto IEEE Transactions on Signal and Information Processing over Networks 8, 799-814, 2022 | 25 | 2022 |
Takayuki NishioSchool of Engineering, Tokyo TechEmail verificata su ict.e.titech.ac.jp