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 | 288 | 2021 |
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 | 115 | 2019 |
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 |
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 |
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 |
When wireless communications meet computer vision in beyond 5G T Nishio, Y Koda, J Park, M Bennis, K Doppler IEEE Communications Standards Magazine 5 (2), 76-83, 2021 | 56 | 2021 |
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise Y Koda, K Yamamoto, T Nishio, M Morikura 2020 IEEE Global Communications Conference (GLOBECOM), 1-6, 2020 | 56 | 2020 |
One Pixel Image and RF Signal Based Split Learning for mmWave Received Power Prediction Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura Proceedings of the 15th International Conference on emerging Networking …, 2019 | 19 | 2019 |
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference Y Kihira, Y Koda, K Yamamoto, T Nishio, M Morikura 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 15 | 2020 |
Beamforming feedback-based model-driven angle of departure estimation toward legacy support in WiFi sensing: An experimental study S Itahara, S Kondo, K Yamashita, T Nishio, K Yamamoto, Y Koda IEEE Access 10, 59737-59747, 2022 | 13 | 2022 |
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks S Itahara, T Nishio, Y Koda, K Yamamoto IEEE Access 10, 14969-14979, 2022 | 13 | 2022 |
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking Y Koda, M Shinzaki, K Yamamoto, T Nishio, M Morikura, Y Shirato, ... IEEE Transactions on Cognitive Communications and Networking, 2021 | 12 | 2021 |
Cooperative Sensing in Deep RL-Based Image-to-Decision Proactive Handover for mmWave Networks Y Koda, K Nakashima, K Yamamoto, T Nishio, M Morikura 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC …, 2020 | 12 | 2020 |
Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction Y Koda, J Park, M Bennis, K Yamamoto, T Nishio, M Morikura arXiv preprint arXiv:2007.08208, 2020 | 11 | 2020 |
Measurement Method of Temporal Attenuation by Human Body in Off‐the‐Shelf 60 GHz WLAN with HMM‐Based Transmission State Estimation Y Koda, K Yamamoto, T Nishio, M Morikura Wireless Communications and Mobile Computing 2018 (1), 7846936, 2018 | 11 | 2018 |
105 GHz Multipath Propagation Measurements and Path Loss Model for Sub-THz Indoor Short-Range Communications Y Koda, N Ohmi, H Endo, H Harada 2023 IEEE 98th Vehicular Technology Conference (VTC2023-fall), 1-5, 2023 | 10 | 2023 |
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning Y Koda, J Park, M Bennis, P Vepakomma, R Raskar 2021 IEEE Global Communications Conference (GLOBECOM), 2021 | 10 | 2021 |
Impact of input data size on received power prediction using depth images for mm wave communications K Nakashima, Y Koda, K Yamamoto, H Okamoto, T Nishio, M Morikura, ... 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 9 | 2018 |
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning M Shinzaki, Y Koda, K Yamamoto, T Nishio, M Morikura, Y Shirato, ... IEEE Transactions on Cognitive Communications and Networking, 2021 | 8 | 2021 |
Survey, taxonomy, and unification of standard mmWave channel models for WPAN, WLAN, and cellular systems in 6G Y Koda, R Ouyang, N Ohmi, H Harada IEEE Communications Standards Magazine 8 (3), 44–52, 2024 | 7* | 2024 |