Live E! Project: Establishment of Infrastructure Sharing Environmental Information. - Satoshi Matsuura; Hiroki Ishizuka; Hideya Ochiai; Shinichi Doi; Shinichi Ishida; Masaya Nakayama; Hiroshi Esaki; Hideki Sunahara (SAINT Workshops, 2007)

Architecture of Scalable Embedded Device Management System with Configurable Plug-In Translator. - Hideya Ochiai; Hiroshi Esaki (SAINT Workshops, 2007)

Application of Content-Based Network for Sensor Data Distribution System. - Hideya Ochiai; Zhiyong Wang; Ryo Oguchi; Tetsuhiro Sugiyama; Yusuke Sakamoto; Shinichi Ishida; Hiroshi Esaki (SAINT Workshops, 2007)

Mobility entropy and message routing in community-structured delay tolerant networks. - Hideya Ochiai; Hiroshi Esaki (AINTEC, 2008)

Accuracy-Based Cache Consistency Management for Numerical Object Replication. - Hideya Ochiai; Hiroshi Esaki (SAINT, 2008)

Message routing on potential-fields in forwarding-based DTNs. - Hideya Ochiai; Hiroshi Esaki (ICUIMC, 2009)

IP over DTN: Large-delay asynchronous packet delivery in the internet. - Hideya Ochiai; Kenichi Shimotada; Hiroshi Esaki (ICUMT, 2009)

Building Hierarchical Switch Network Using OpenFlow. - Hideyuki Shimonishi; Hideya Ochiai; Nobuyuki Enomoto; Atsushi Iwata (INCoS, 2009)

Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Data Aggregation. - Elyes Ben Hamida; Hideya Ochiai; Hiroshi Esaki; Pierre Borgnat; Patrice Abry; Eric Fleury (SAINT, 2009)

RainWatch Project: Location-Awared Realtime Detection and Notification of Rain on Internet-Based Sensor Network. - Kaveevivitchai Sathita; Hideya Ochiai; Hiroshi Esaki (SAINT, 2009)

CCDM: Central Controller-Based Device Management Architecture and Method to Split Management Scripts. - Akihiro Sugiyama; Hideya Ochiai; Hiroshi Esaki (SAINT, 2009)

DTIPN: delay tolerant IP networking for opportunistic network applications. - Hideya Ochiai; Kenichi Shimotada; Hiroshi Esaki (MobiOpp, 2010)

Message Deletion and Mobility Patterns for Efficient Message Delivery in DTNs. - Kaveevivitchai Sathita; Hideya Ochiai; Hiroshi Esaki (PerCom Workshops, 2010)

A Case Study of UTMesh: Design and Impact of Real World Experiments with Wi-Fi and Bluetooth Devices. - Hideya Ochiai; Kenji Matsuo; Satoshi Matsuura; Hiroshi Esaki (SAINT, 2011)

Hop-by-hop reliable, parallel message propagation for intermittently-connected mesh networks. - Hideya Ochiai; Masaya Nakayama; Hiroshi Esaki (WOWMOM, 2011)

CCDM: Ladder-Logic Programming for Wireless Sensors and Actuators with Central Controller-Based Device Management. - Hideya Ochiai; Hiroshi Esaki (IEICE Trans. Commun., 2011)

Facility Information Management on HBase: Large-Scale Storage for Time-Series Data. - Hideya Ochiai; Hiroyuki Ikegami; Yuuichi Teranishi; Hiroshi Esaki (COMPSAC Workshops, 2014)

InNetTC: in-network traffic control for full IP sensor-actuator networks. - Hideya Ochiai; Yuuichi Teranishi; Hiroshi Esaki (ICUIMC, 2014)

Facility networking with IP over RS485: Packet control for master-slave cascaded networks. - Hideya Ochiai; Hiroki Nakagami; Yuuichi Teranishi; Hiroshi Esaki (SmartGridComm, 2014)

Case Study of Constructing Weather Monitoring System in Difficult Environment. - Masato Yamanouchi; Hideya Ochiai; Y. K. Reddy; Hiroshi Esaki; Hideki Sunahara (UIC/ATC/ScalCom, 2014)

Unidirectional Link-Aware DTN-based sensor network in building monitoring scenario. - Manussanun Buranachokphaisan; Hideya Ochiai; Hiroshi Esaki (Wireless Days, 2014)

Message from the BIOT 2015 Workshop Organizers. - Hideya Ochiai; Susumu Takeuchi; Kurt Geihs; Ting-Yun Chi (COMPSAC Workshops, 2015)

Electric current based power line communication for plug-load device auto identification. - Hiroyuki Ikegami; Manabu Tsukada; Hideya Ochiai; Hideaki Nii; Hiroshi Esaki (SmartGridComm, 2015)

Hidden topics modeling approach for review quality prediction and classification. - Hoan Tran Quoc; Hideya Ochiai; Hiroshi Esaki (SoCPaR, 2015)

Message from the BIOT Workshop Organizers. - Hideya Ochiai; Kurt Geihs; Susumu Takeuchi; Jun Suzuki 008 (COMPSAC Workshops, 2016)

Proxy cooperative awareness message: an infrastructure-assisted V2V messaging. - Tomoya Kitazato; Manabu Tsukada; Hideya Ochiai; Hiroshi Esaki (ICMU, 2016)

PPLC-PV: A pulse power line communication for series-connected PV monitoring. - Hideya Ochiai; Hiroyuki Ikegami (SmartGridComm, 2016)

IR-XY-PV: Infrared Multihop Communication for XY-Coordinated PV Modules. - Hideya Ochiai; Zhiqing Zhang; Hiroto Kitamura; Hiroshi Esaki (AINTEC, 2017)

An IoT Application-Layer Protocol Modem: A Case Study on Interfacing IEEE 1888 with AT Commands. - Zhiqing Zhang; Hideya Ochiai; Hiroshi Esaki (CyberC, 2017)

IoT WebSocket Connection Management Algorithm for Early Warning Earthquake Alert Applications. - Ajinkya Mulay; Hideya Ochiai; Hiroshi Esaki (UCC (Companion"), 2017)

Message from the BIOT 2018 Workshop Organizers. - Hideya Ochiai; Kurt Geihs; Susumu Takeuchi (COMPSAC (2), 2018)

INSTRUCT: A Clustering Based Identification of Valid Communications in IoT Networks. - Mohd. Saalim Jamal; Venkata Keerthy S; Hideya Ochiai; Hiroshi Esaki; Kotaro Kataoka (IoTSMS, 2018)

Probing Firewalls of Malware-Infected Networks with Honeypot. - Hyuga Kobayashi; Zhiqing Zhang; Hideya Ochiai; Hiroshi Esaki (CFI, 2019)

IoT-VuLock: Locking IoT Device Vulnerability with Enhanced Network Scans. - Supanat Limjitti; Hideya Ochiai; Hiroshi Esaki; Kunwadee Sripanidkulchai (IMCOM, 2019)

ARP Request Trend Fitting for Detecting Malicious Activity in LAN. - Kai Matsufuji; Satoru Kobayashi; Hiroshi Esaki; Hideya Ochiai (IMCOM, 2019)

A Rule-Based Algorithm of Finding Valid Hosts for IoT Device Using Its Network Traffic. - Porapat Ongkanchana; Hiroshi Esaki; Hideya Ochiai (IMCOM, 2019)

Security Assessment Model to Analysis DOS Attacks in WSN. - Abdulaziz Aborujilah; Rasheed Mohammad Nassr; Tawfik Al Hadhrami; Mohd Nizam Husen; Nor Azlina Ali; AbdulAleem Al-Othmani; Nur Syahela; Hideya Ochiai (IRICT, 2019)

Analysis of Malware Hidden Behind Firewalls with Back Scans. - Zhiqing Zhang; Hiroshi Esaki; Hideya Ochiai (ISDFS, 2019)

Recurrent and Non-recurrent Congestion Based Gridlock Detection on Chula-SSS Urban Road Network. - Ei Ei Mon; Hideya Ochiai; Chaiyachet Saivichit; Chaodit Aswakul (SUMO, 2019)

Cooperative awareness using roadside unit networks in mixed traffic. - Manabu Tsukada; Masahiro Kitazawa; Takaharu Oi; Hideya Ochiai; Hiroshi Esaki (VNC, 2019)

SMOTE-Based Framework for IoT Botnet Attack Detection. - Abdulaziz Aborujilah; Rasheed Mohammad Nassr; AbdulAleem Al-Othmani; Nor Azlina Ali; Zalizah Awang Long; Mohd Nizam Husen; Tawfik Al Hadhrami; Hideya Ochiai (ACeS, 2020)

SSH and FTP brute-force Attacks Detection in Computer Networks: LSTM and Machine Learning Approaches. - Md Delwar Hossain; Hideya Ochiai; Doudou Fall; Youki Kadobayashi (ICCCS, 2020)

Text-based Malicious Domain Names Detection Based on Variational Autoencoder And Supervised Learning. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (CISS, 2020)

Scan-Based Self Anomaly Detection: Client-Side Mitigation of Channel-Based Man-in-the-Middle Attacks Against Wi-Fi. - Sheng Gong; Hideya Ochiai; Hiroshi Esaki (COMPSAC, 2020)

Long Short-Term Memory-Based Intrusion Detection System for In-Vehicle Controller Area Network Bus. - Md Delwar Hossain; Hiroyuki Inoue; Hideya Ochiai; Doudou Fall; Youki Kadobayashi (COMPSAC, 2020)

LSTM-based Network Attack Detection: Performance Comparison by Hyper-parameter Values Tuning. - Md Delwar Hossain; Hideya Ochiai; Doudou Fall; Youki Kadobayashi (CSCloud/EdgeCom, 2020)

An Effective In-Vehicle CAN Bus Intrusion Detection System Using CNN Deep Learning Approach. - Md Delwar Hossain; Hiroyuki Inoue; Hideya Ochiai; Doudou Fall; Youki Kadobayashi (GLOBECOM, 2020)

Trajectory Optimization for An Autonomous Vehicle Driving across Stochastic Traffic Flows based on Direct Collocation. - Yuwei Sun; Russ Tedrake; Hideya Ochiai (ICCAD, 2020)

Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption. - Yuwei Sun; Hiroshi Esaki; Hideya Ochiai (ICMLA, 2020)

Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (IJCNN, 2020)

XGBoosted Misuse Detection in LAN-Internal Traffic Dataset. - Zhiqing Zhang; Pawissakan Chirupphapa; Hiroshi Esaki; Hideya Ochiai (ISI, 2020)

Mitigating Privacy Leak by Injecting Unique Noise into the Traffic of Smart Speakers. - Rikuta Furuta; Hideya Ochiai; Hiroshi Esaki (SMARTCOMP, 2020)

LSTM-Based Intrusion Detection System for In-Vehicle Can Bus Communications. - Md Delwar Hossain; Hiroyuki Inoue; Hideya Ochiai; Doudou Fall; Youki Kadobayashi (IEEE Access, 2020)

MAC address randomization tolerant crowd monitoring system using Wi-Fi packets. - Yuyi Cai; Manabu Tsukada; Hideya Ochiai; Hiroshi Esaki (AINTEC, 2021)

Multi-Type Anomaly Detection Based on Raw Network Traffic. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (CCNC, 2021)

Deep Learning-Based Anomaly Detection in LAN from Raw Network Traffic Measurement. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (CISS, 2021)

Intrusion Measurement and Detection in LAN Using Protocol-Wise Associative Memory. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (ICAIIC, 2021)

Network Flows-Based Malware Detection Using A Combined Approach of Crawling And Deep Learning. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (ICC, 2021)

SDNHive: A Proof-of-Concept SDN and Honeypot System for Defending Against Internal Threats. - Meatasit Karakate; Hiroshi Esaki; Hideya Ochiai (ICCNS, 2021)

Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (SMC, 2021)

Roadside-Assisted Cooperative Planning using Future Path Sharing for Autonomous Driving. - Mai Hirata; Manabu Tsukada; Keisuke Okumura 001; Yasumasa Tamura; Hideya Ochiai; Xavier Défago (VTC Fall, 2021)

Decentralized Deep Learning for Mobile Edge Computing: A Survey on Communication Efficiency and Trustworthiness. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (CoRR, 2021)

Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (CoRR, 2021)

Adaptive Intrusion Detection in the Networking of Large-Scale LANs With Segmented Federated Learning. - Yuwei Sun; Hiroshi Esaki; Hideya Ochiai (IEEE Open J. Commun. Soc., 2021)

Unauthorized Power Usage Detection Using Gradient Boosting Classifier in Disaggregated Smart Meter Home Network. - Olufemi Abiodun Abraham; Hideya Ochiai; Kabid Hassan Shibly; Md Delwar Hossain; Yuzo Taenaka; Youki Kadobayashi (FNWF, 2022)

Feature Distribution Matching for Federated Domain Generalization. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (ACML, 2022)

Feature Extraction Pipeline and Analysis of Suspicious Events in Large-Scale LANs for Cyberattack Categorization. - Pawissakan Chirupphapa; Hiroshi Esaki; Hideya Ochiai (BDE, 2022)

Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (CCNC, 2022)

Misbehavior Detection Using Collective Perception under Privacy Considerations. - Manabu Tsukada; Shimpei Arii; Hideya Ochiai; Hiroshi Esaki (CCNC, 2022)

A Flexible Distributed Building Simulator for Federated Reinforcement Learning. - Shugo Fujimura; Koki Fujita; Yuwei Sun; Hiroshi Esaki; Hideya Ochiai (COINS, 2022)

Federated Reinforcement Learning for the Building Facilities. - Koki Fujita; Shugo Fujimura; Yuwei Sun; Hiroshi Esaki; Hideya Ochiai (COINS, 2022)

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. - Yuwei Sun; Hideya Ochiai; Jun Sakuma (IJCNN, 2022)

Unsupervised Anomaly Detection in RS-485 Traffic using Autoencoders with Unobtrusive Measurement. - Pawissakan Chirupphapa; Md Delwar Hossain; Hiroshi Esaki; Hideya Ochiai (IPCCC, 2022)

Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach. - Md Delwar Hossain; Hideya Ochiai; Tatsuya Arisawa; Youki Kadobayashi (SDS, 2022)

Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (SMC, 2022)

DualCheck: Exploiting Human Verification Tasks for Opportunistic Online Safety Microlearning. - Ryo Yoshikawa; Hideya Ochiai; Koji Yatani (SOUPS @ USENIX Security Symposium, 2022)

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks. - Naoya Tezuka; Hideya Ochiai; Yuwei Sun; Hiroshi Esaki (TPS-ISA, 2022)

Decentralized P2P Federated Learning on Ad-hoc Like Networks with Non-IID Dataset. - Qingzhe Jin; Hideya Ochiai (WiMob, 2022)

Homogeneous Learning: Self-Attention Decentralized Deep Learning. - Yuwei Sun; Hideya Ochiai (IEEE Access, 2022)

Multi-Source Domain Adaptation Based on Federated Knowledge Alignment. - Yuwei Sun; Ng S. T. Chong; Hideya Ochiai (CoRR, 2022)

Detecting Anomalous LAN Activities under Differential Privacy. - Norrathep Rattanavipanon; Donlapark Ponnoprat; Hideya Ochiai; Kuljaree Tantayakul; Touchai Angchuan; Sinchai Kamolphiwong (CoRR, 2022)

Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning. - Hideya Ochiai; Yuwei Sun; Qingzhe Jin; Nattanon Wongwiwatchai; Hiroshi Esaki (CoRR, 2022)

UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering. - Yuwei Sun; Hideya Ochiai (CoRR, 2022)

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. - Sevvandi Kandanaarachchi; Hideya Ochiai; Asha Rao (Expert Syst. Appl., 2022)

Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness. - Yuwei Sun; Hideya Ochiai; Hiroshi Esaki (IEEE Trans. Artif. Intell., 2022)

2MiCo: A Contrastive Semi-Supervised Method with Double Mixup for Smart Meter Modbus RS-485 Communication Security. - Xiaodi Li 002; Md Delwar Hossain; Hideya Ochiai; Latifur Khan (BigDataSecurity/HPSC/IDS, 2023)

Securing Smart Vehicles Through Federated Learning. - Sadaf Md. Halim; Md Delwar Hossain; Latifur Khan; Anoop Singhal; Hiroyuki Inoue; Hideya Ochiai; Kevin W. Hamlen; Youki Kadobayashi (FPS (1), 2023)

Competitive and Asynchronous Decentralized Federated Learning with Blockchain Smart Contracts. - Eisuke Tomiyama; Hiroshi Esaki; Hideya Ochiai (GoodIT, 2023)

Smart Meter Modbus RS-485 Intrusion Detection by Federated Learning Approach. - Md Delwar Hossain; Hideya Ochiai; Latifur Khan; Youki Kadobayashi (ICCAE, 2023)

Collaborative Multi-Task Learning across Internet Edges with Device-to-Device Communications. - Ryusei Higuchi; Hiroshi Esaki; Hideya Ochiai (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Honeypot-Assisted Masquerade Detection with Character-Level Machine Learning. - Ryusei Higuchi; Hideya Ochiai; Hiroshi Esaki (KST, 2023)

WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks. - Eisuke Tomiyama; Hiroshi Esaki; Hideya Ochiai (KST, 2023)

Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication. - Hideya Ochiai; Riku Nishihata; Eisuke Tomiyama; Yuwei Sun; Hiroshi Esaki (MobiHoc, 2023)

Personalized Wireless Ad Hoc Federated Learning for Label Preference Skew. - Ryusei Higuchi; Hiroshi Esaki; Hideya Ochiai (WF-IoT, 2023)

Tuning Vision Transformer with Device-to-Device Communication for Targeted Image Recognition. - Hideya Ochiai; Atsuya Muramatsu; Yudai Ueda; Ryuhei Yamaguchi; Kazuhiro Katoh; Hiroshi Esaki (WF-IoT, 2023)

Wireless Ad-Hoc Federated Learning for Cooperative Map Creation and Localization Models. - Yusuke Sugizaki; Hideya Ochiai; Muhammad Asad 002; Manabu Tsukada; Hiroshi Esaki (WF-IoT, 2023)

Electricity Theft Detection for Smart Homes with Knowledge-Based Synthetic Attack Data. - Olufemi Abiodun Abraham; Hideya Ochiai; Md Delwar Hossain; Yuzo Taenaka; Youki Kadobayashi (WFCS, 2023)

Attacker Localization with Machine Learning in RS-485 Industrial Control Networks. - Hideya Ochiai; Md Delwar Hossain; Youki Kadobayashi; Hiroshi Esaki (WFCS, 2023)

Detecting inner-LAN anomalies using hierarchical forecasting. - Sevvandi Kandanaarachchi; Mahdi Abolghasemi; Hideya Ochiai; Asha Rao (CoRR, 2023)

Associative Transformer Is A Sparse Representation Learner. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CoRR, 2023)

Modbus/RS-485 Attack Detection on Communication Signals with Machine Learning. - Hideya Ochiai; Md Delwar Hossain; Pawissakan Chirupphapa; Youki Kadobayashi; Hiroshi Esaki (IEEE Commun. Mag., 2023)

Bidirectional Contrastive Split Learning for Visual Question Answering. - Yuwei Sun; Hideya Ochiai (AAAI, 2024)

Optimizing mmWave Beamforming for High-Speed Connected Autonomous Vehicles: An Adaptive Approach. - Ryo Iwaki; Jin Nakazato; Muhammad Asad 002; Ehsan Javanmardi; Kazuki Maruta; Manabu Tsukada; Hideya Ochiai; Hiroshi Esaki (CCNC, 2024)

Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity. - Nahid Ferdous Aurna; Md Delwar Hossain; Hideya Ochiai; Yuzo Taenaka; Latifur Khan; Youki Kadobayashi (ICISSP, 2024)

Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation. - Md. Mahbubur Rahman; Md Delwar Hossain; Hideya Ochiai; Youki Kadobayashi; Tanjim Sakib; Syed Taha Yeasin Ramadan (ICISSP, 2024)

Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space. - Yuwei Sun; Hideya Ochiai; Jun Sakuma (IJCNN, 2024)

Behavioral Authentication Using Activity-Based Model Segregation in Convolutional Neural Networks for Mobile Sensor Data. - Thapanapong Rukkanchanunt; Saksinkarn Petchkuliinda; Hideya Ochiai (JCSSE, 2024)

Building Automation with Vision Transformer Using Synthetic Indoor Images for Room Light Control. - Yuji Aizono; Takuya Sakamoto; Hideya Ochiai; Hiroshi Esaki (KST, 2024)

Tuning Personalized Models by Two-Phase Parameter Decoupling with Device-to-Device Communication. - Atsuya Muramatsu; Hideya Ochiai; Hiroshi Esaki (KST, 2024)

Augmenting Room Light Patterns for Building Automation with Camera Images and Vision Transformer. - Takuya Sakamoto; Yuji Aizono; Hideya Ochiai; Hiroshi Esaki (KST, 2024)

Device-to-Device Collaborative Learning for Self-Localization with Previous Model Utilization. - Yudai Ueda; Hideya Ochiai; Hiroshi Esaki (KST, 2024)

Design of Digital Twin Architecture for 3D Audio Representation in AR. - Tokio Takada; Jin Nakazato; Alex Orsholits; Manabu Tsukada; Hideya Ochiai; Hiroshi Esaki (MetaCom, 2024)

Neuron Personalization of Collaborative Federated Learning via Device-to-Device Communications. - Ryusei Higuchi; Hiroshi Esaki; Hideya Ochiai (WiMob, 2024)

Tuning Detection Transformer with Device-to-Device Communication for Mission-Oriented Object Detection. - Ryuhei Yamaguchi; Hideya Ochiai (WiMob, 2024)

Electricity Theft Detection for Smart Homes: Harnessing the Power of Machine Learning With Real and Synthetic Attacks. - Olufemi Abiodun Abraham; Hideya Ochiai; Md Delwar Hossain; Yuzo Taenaka; Youki Kadobayashi (IEEE Access, 2024)

Application of Traffic Light Control in Oversaturated Urban Network Using Multi-Agent Deep Reinforcement Learning. - Ei Ei Mon; Hideya Ochiai; Chaodit Aswakul (IEEE Access, 2024)

Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera. - Hideya Ochiai; Kohki Hashimoto; Takuya Sakamoto; Seiya Watanabe; Ryosuke Hara; Ryo Yagi; Yuji Aizono; Hiroshi Esaki (CoRR, 2024)

Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning. - Yuwei Sun; Hideya Ochiai; Jun Sakuma (IEEE Trans. Artif. Intell., 2024)

Associative Transformer. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CVPR, 2025)

Improving QoS in Failure Scenarios: Measurement System for Low-Latency Backup Path. - Yoshihiko Ito; Jin Nakazato; Ryusei Shiiba; Kensuke Fukuda; Hiroshi Esaki; Hideya Ochiai (ICOIN, 2025)

Multi-Agent Reinforcement Learning With Cross-Layered Adaptive Wireless Video Streaming for Road Traffic Monitoring. - Aung Myo Htut; Hideya Ochiai; Chaodit Aswakul (IEEE Access, 2025)