Hideya Ochiai 研究室

主宰者：Hideya Ochiai

東京大学

AI 要約（直近 5 年の研究成果）

本研究室は、IoTデバイスやエッジデバイス上での機械学習の実現と、プライバシーを保護した分散協調学習に関する研究を展開しています。特に、中央サーバを経由せずにデバイス間で直接通信・パラメータ交換を行う「ワイヤレスアドホック連合学習」という枠組みを開発し、複数のデバイスが協力して機械学習モデルを訓練できる仕組みを構築しています。大規模言語モデルの効率的な適応や音声認識、物体検出、視覚質問応答など、様々なタスクでこのアプローチの有効性を検証しています。同時に、建物の照明制御やHVAC管理といった建築自動化への応用も進めており、カメラ画像から直接制御信号を生成する手法や、プライバシーを損なわない分散学習による建築自動化システムを提案しています。さらに、デバイス間通信における通信効率の向上、非均質なデータ分布への対応、バックドア攻撃などのセキュリティ脅威への防御といった、実運用に向けた課題解決にも取り組んでいます。加えて、デジタルツイン技術やミリ波ビームフォーミング、太陽光パネルの遠隔診断など、無線通信や物理システムの制御に関連した応用研究も実施しており、エッジ側での学習と通信技術を統合した包括的なシステム設計に力を入れています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（77 件）

[2026] Serverless Cross-Device Knowledge Transfer with Collaborative LLM Fine-Tuning via Wireless Ad Hoc Federated Learning
DOI: https://doi.org/10.1109/cai68641.2026.11536207
[2026] Robust Training of Large Language Models under Non-IID Data in Wireless Ad Hoc Federated Learning
DOI: https://doi.org/10.1109/cai68641.2026.11536528
[2026] Singular Value Fine-Tuning for Efficient Device-to-Device Adaptation of Large Language Models
DOI: https://doi.org/10.1109/cai68641.2026.11536638
[2026] High‐Mobility Indium Gallium Oxide TFTs Fabricated From an Aqueous Precursor With Excimer‐Light Activation
DOI: https://doi.org/10.1002/jsid.70068
[2026] An Emulation Platform for Wireless Ad Hoc Federated Learning: Design, Implementation, and Case Study
DOI: https://doi.org/10.1109/kst67832.2026.11431966
[2026] Joint UE-BS Association and Resource Allocation for Multi-Cell Hierarchical Over-the-Air Federated Learning with Non-IID Data
DOI: https://doi.org/10.1109/tvt.2026.3712217
[2025] Top-K Difference Sparsification and Quantization for Communication-Efficient Model Aggregation in Wireless Ad Hoc Federated Learning
DOI: https://doi.org/10.1109/cai64502.2025.00190
[2025] Automatic Speech Recognition as IoT Sensors via Wireless Ad Hoc Federated Learning
DOI: https://doi.org/10.1109/sensors59705.2025.11330669
[2025] Fully Decentralized Collaborative Learning for Visual Question Answering in Distributed Scenarios
DOI: https://doi.org/10.1109/cai64502.2025.00220
[2025] Improving QoS in Failure Scenarios: Measurement System for Low-Latency Backup Path
DOI: https://doi.org/10.1109/icoin63865.2025.10993173

続きを表示（残り 67 件）

[2025] Privacy-Aware Logic Free Building Automation Using Split Learning
DOI: https://doi.org/10.1109/cai64502.2025.00073
[2025] Multi-Agent Reinforcement Learning With Cross-Layered Adaptive Wireless Video Streaming for Road Traffic Monitoring
DOI: https://doi.org/10.1109/access.2025.3593616
[2025] Online Continual Learning for Building Automation on IoT Devices via Coreset Selection
DOI: https://doi.org/10.1145/3714394.3756302
[2025] Backdoor-Aware Adaptive Aggregation for Wireless Ad Hoc Federated Learning
DOI: https://doi.org/10.1109/tps-isa67132.2025.00083
[2025] Fabrication and Characterization of Top-Gate In-Ga-O Thin-Film Transistors Using Aqueous Precursor Solutions and Excimer Light Irradiation
DOI: https://doi.org/10.36463/idw.2025.0314
[2025] Associative Transformer
DOI: https://doi.org/10.1109/cvpr52734.2025.00426
[2024] Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation
DOI: https://doi.org/10.5220/0012434400003648
[2024] Application of Traffic Light Control in Oversaturated Urban Network Using Multi-Agent Deep Reinforcement Learning
DOI: https://doi.org/10.1109/access.2024.3397495
[2024] Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity
DOI: https://doi.org/10.5220/0012409700003648
[2024] IV-Curve Regression for Operational Solar Plants Using Pulse Power Line Communication
DOI: https://doi.org/10.1109/greentech58819.2024.10520368
[2024] Tuning Detection Transformer with Device-to-Device Communication for Mission-Oriented Object Detection
DOI: https://doi.org/10.1109/wimob61911.2024.10770328
[2024] Neuron Personalization of Collaborative Federated Learning via Device-to-Device Communications
DOI: https://doi.org/10.1109/wimob61911.2024.10770527
[2024] Design of Digital Twin Architecture for 3D Audio Representation in AR
DOI: https://doi.org/10.1109/metacom62920.2024.00044
[2024] Enhancing V2X Communication: Machine Learning Assisted Dynamic mmWave Beam Search
DOI: https://doi.org/10.1109/icufn61752.2024.10625435
[2024] Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
DOI: https://doi.org/10.1109/ijcnn60899.2024.10651460
[2024] Behavioral Authentication Using Activity-Based Model Segregation in Convolutional Neural Networks for Mobile Sensor Data
DOI: https://doi.org/10.1109/jcsse61278.2024.10613628
[2024] Bidirectional Contrastive Split Learning for Visual Question Answering
DOI: https://doi.org/10.1609/aaai.v38i19.30158
[2024] Building Automation with Vision Transformer Using Synthetic Indoor Images for Room Light Control
DOI: https://doi.org/10.1109/kst61284.2024.10499683
[2024] Device-to-Device Collaborative Learning for Self-Localization with Previous Model Utilization
DOI: https://doi.org/10.1109/kst61284.2024.10499694
[2024] Augmenting Room Light Patterns for Building Automation with Camera Images and Vision Transformer
DOI: https://doi.org/10.1109/kst61284.2024.10499691
[2024] Tuning Personalized Models by Two-Phase Parameter Decoupling with Device-to-Device Communication
DOI: https://doi.org/10.1109/kst61284.2024.10499649
[2024] Optimizing mmWave Beamforming for High-Speed Connected Autonomous Vehicles: An Adaptive Approach
DOI: https://doi.org/10.1109/ccnc51664.2024.10454766
[2024] Electricity Theft Detection for Smart Homes: Harnessing the Power of Machine Learning With Real and Synthetic Attacks
DOI: https://doi.org/10.1109/access.2024.3366493
[2023] WAFL-GAN: Wireless Ad Hoc Federated Learning for Distributed Generative Adversarial Networks
DOI: https://doi.org/10.1109/kst57286.2023.10086811
[2023] Tuning Vision Transformer with Device-to-Device Communication for Targeted Image Recognition
DOI: https://doi.org/10.1109/wf-iot58464.2023.10539480
[2023] Wireless Ad-Hoc Federated Learning for Cooperative Map Creation and Localization Models
DOI: https://doi.org/10.1109/wf-iot58464.2023.10539517
[2023] Collaborative Multi-Task Learning across Internet Edges with Device-to-Device Communications
DOI: https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics60724.2023.00105
[2023] MemWAFL: Efficient Model Aggregation for Wireless Ad Hoc Federated Learning in Sparse Dynamic Networks
DOI: https://doi.org/10.1109/fnwf58287.2023.10520500
[2023] Self-Organizing Hierarchical Topology in Peer-to-Peer Federated Learning: Strategies for Scalability, Robustness, and Non-lID Data
DOI: https://doi.org/10.1109/fnwf58287.2023.10520530
[2023] Personalized Wireless Ad Hoc Federated Learning for Label Preference Skew
DOI: https://doi.org/10.1109/wf-iot58464.2023.10539563
[2023] Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
DOI: https://doi.org/10.1145/3565287.3616528
[2023] Competitive and Asynchronous Decentralized Federated Learning with Blockchain Smart Contracts
DOI: https://doi.org/10.1145/3582515.3609522
[2023] Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning
DOI: https://doi.org/10.1109/tai.2023.3280155
[2023] Modbus/RS-485 Attack Detection on Communication Signals with Machine Learning
DOI: https://doi.org/10.1109/mcom.002.2200553
[2023] 2MiCo: A Contrastive Semi-Supervised Method with Double Mixup for Smart Meter Modbus RS-485 Communication Security
DOI: https://doi.org/10.1109/bigdatasecurity-hpsc-ids58521.2023.00016
[2023] Electricity Theft Detection for Smart Homes with Knowledge-Based Synthetic Attack Data
DOI: https://doi.org/10.1109/wfcs57264.2023.10144120
[2023] Attacker Localization with Machine Learning in RS-485 Industrial Control Networks
DOI: https://doi.org/10.1109/wfcs57264.2023.10144114
[2023] Smart Meter Modbus RS-485 Intrusion Detection by Federated Learning Approach
DOI: https://doi.org/10.1109/iccae56788.2023.10111132
[2023] Honeypot-Assisted Masquerade Detection with Character-Level Machine Learning
DOI: https://doi.org/10.1109/kst57286.2023.10086831
[2022] Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
DOI: https://doi.org/10.1109/tps-isa56441.2022.00030
[2022] Unsupervised Anomaly Detection in RS-485 Traffic using Autoencoders with Unobtrusive Measurement
DOI: https://doi.org/10.1109/ipccc55026.2022.9894318
[2022] Decentralized P2P Federated Learning on Ad-hoc Like Networks with Non-IID Dataset
DOI: https://doi.org/10.1109/wimob55322.2022.9941516
[2022] Federated Phish Bowl: LSTM-Based Decentralized Phishing Email Detection
DOI: https://doi.org/10.1109/smc53654.2022.9945584
[2022] Unauthorized Power Usage Detection Using Gradient Boosting Classifier in Disaggregated Smart Meter Home Network
DOI: https://doi.org/10.1109/fnwf55208.2022.00126
[2022] Federated Reinforcement Learning for the Building Facilities
DOI: https://doi.org/10.1109/coins54846.2022.9854959
[2022] A Flexible Distributed Building Simulator for Federated Reinforcement Learning
DOI: https://doi.org/10.1109/coins54846.2022.9855000
[2022] Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
DOI: https://doi.org/10.1109/ijcnn55064.2022.9891990
[2022] Real-world sensor dataset for city inbound-outbound critical intersection analysis
DOI: https://doi.org/10.1038/s41597-022-01448-6
[2022] Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach
DOI: https://doi.org/10.1109/sds54800.2022.00015
[2022] Feature Extraction Pipeline and Analysis of Suspicious Events in Large-Scale LANs for Cyberattack Categorization
DOI: https://doi.org/10.1145/3538950.3538964
[2022] Detecting Anomalous LAN Activities under Differential Privacy
DOI: https://doi.org/10.1155/2022/1403200
[2022] Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
DOI: https://doi.org/10.1016/j.eswa.2022.117073
[2022] Homogeneous Learning: Self-Attention Decentralized Deep Learning
DOI: https://doi.org/10.1109/access.2022.3142899
[2021] Sensor Selection for Maneuvering Target Tracking in Wireless Sensor Networks With Uncertainty
DOI: https://doi.org/10.1109/jsen.2021.3136546
[2021] MAC address randomization tolerant crowd monitoring system using Wi-Fi packets
DOI: https://doi.org/10.1145/3497777.3498547
[2021] Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness
DOI: https://doi.org/10.1109/tai.2021.3133819
[2021] SDNHive: A Proof-of-Concept SDN and Honeypot System for Defending Against Internal Threats
DOI: https://doi.org/10.1145/3507509.3507511
[2021] Application of <scp>Q‐Learning</scp> in Routing of <scp>Software‐Defined</scp> Wireless Mesh Network
DOI: https://doi.org/10.1002/tee.23527
[2021] A Proposal of the Control Method for Multiple Buildings with AI Techiques
[2021] Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks
DOI: https://doi.org/10.1109/smc52423.2021.9658652
[2021] Roadside-Assisted Cooperative Planning using Future Path Sharing for Autonomous Driving
DOI: https://doi.org/10.1109/vtc2021-fall52928.2021.9625324
[2021] Network Flows-Based Malware Detection Using A Combined Approach of Crawling And Deep Learning
DOI: https://doi.org/10.1109/icc42927.2021.9500920
[2021] Releasing ARP Data with Differential Privacy Guarantees For LAN Anomaly Detection
DOI: https://doi.org/10.1109/ecti-con51831.2021.9454785
[2021] Intrusion Measurement and Detection in LAN Using Protocol-Wise Associative Memory
DOI: https://doi.org/10.1109/icaiic51459.2021.9415195
[2021] INTAP: Integrated Network Traffic Analysis Pipeline for LAN Monitoring System
DOI: https://doi.org/10.1109/icim52229.2021.9417147
[2021] Deep Learning-Based Anomaly Detection in LAN from Raw Network Traffic Measurement
DOI: https://doi.org/10.1109/ciss50987.2021.9400241
[2021] Multi-Type Anomaly Detection Based on Raw Network Traffic
DOI: https://doi.org/10.1109/ccnc49032.2021.9369654

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。

AI 要約（直近 5 年の研究成果）

外部リンク

関連研究室(8 件)

研究成果（77 件）

科研費（0 件）

所属学会・役職（0 件）