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2020 – today
- 2024
[c7]Masayuki Kurata, Akio Ikami, Sohei Itahara, Masaki Suzuki:
Signaling Storm Mitigation by Geographically Distributed C-plane NF Placement and Routing. NetSoft 2024: 100-108- 2023
- [j4]Sohei Itahara
, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto:
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data. IEEE Trans. Mob. Comput. 22(1): 191-205 (2023) - [c6]Takeo Ogawara, Kenichi Okonogi, Akito Suzuki, Masayuki Kurata, Sohei Itahara, Tomoyuki Nagano, Masaki Suzuki:
Always-Connected Enablement Base Station to eliminate the effects of RRC transitions delay. VTC Fall 2023: 1-5 - 2022
- [j3]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto:
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks. IEEE Access 10: 14969-14979 (2022) - [j2]Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya:
Bi-Directional Beamforming Feedback-Based Firmware-Agnostic WiFi Sensing: An Empirical Study. IEEE Access 10: 36924-36934 (2022) - [j1]Sohei Itahara, Sota Kondo, Kota Yamashita, Takayuki Nishio, Koji Yamamoto, Yusuke Koda:
Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing: An Experimental Study. IEEE Access 10: 59737-59747 (2022) - [c5]Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto:
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CCNC 2022: 352-356 - [c4]Kojin Yorita, Sohei Itahara, Takayuki Nishio, Daiki Yoda, Toshihisa Nabetani:
MAB-based Joint Optimization of Wireless LAN and Machine Learning for Communication-efficient Distributed Inference in Lossy Networks. VTC Spring 2022: 1-5 - [i10]Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio, Sohei Itahara, Narayan B. Mandayam:
Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance. CoRR abs/2203.02892 (2022) - 2021
- [c3]Sohei Itahara, Takayuki Nishio, Koji Yamamoto:
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. GLOBECOM 2021: 1-6 - [i9]Sohei Itahara, Takayuki Nishio, Koji Yamamoto:
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks. CoRR abs/2104.13629 (2021) - [i8]Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, Koji Yamamoto:
Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events. CoRR abs/2107.04770 (2021) - [i7]Sohei Itahara, Takayuki Nishio, Koji Yamamoto:
Beamforming Feedback-based Model-driven Angle of Departure Estimation Toward Firmware-Agnostic WiFi Sensing. CoRR abs/2110.14211 (2021) - [i6]Ryosuke Hanahara, Sohei Itahara, Kota Yamashita, Yusuke Koda, Akihito Taya, Takayuki Nishio, Koji Yamamoto:
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing. CoRR abs/2110.15660 (2021) - [i5]Sota Kondo, Sohei Itahara, Kota Yamashita, Koji Yamamoto, Yusuke Koda, Takayuki Nishio, Akihito Taya:
Bi-directional Beamforming Feedback-based Firmware-agnostic WiFi Sensing. CoRR abs/2112.06695 (2021) - [i4]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Koji Yamamoto:
Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks. CoRR abs/2112.09407 (2021) - 2020
- [c2]Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Online Trainable Wireless Link Quality Prediction System using Camera Imagery. GLOBECOM (Workshops) 2020: 1-6 - [c1]Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. VTC Fall 2020: 1-5 - [i3]Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. CoRR abs/2004.09817 (2020) - [i2]Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, Koji Yamamoto:
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data. CoRR abs/2008.06180 (2020) - [i1]Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Online Trainable Wireless Link Quality Prediction System using Camera Imagery. CoRR abs/2009.13864 (2020)
Coauthor Index
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