Active Learning for WBAN-based Health Monitoring
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chiu, Cho-Chun, Nguyen, Tuan, He, Ting, Wang, Shiqiang, Kim, Beom-Su, Kim, Ki-Il |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
par: Huang, Yudi, et autres
Publié: (2024)
par: Huang, Yudi, et autres
Publié: (2024)
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
par: Gau, Rung-Hung, et autres
Publié: (2024)
par: Gau, Rung-Hung, et autres
Publié: (2024)
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
par: Sun, Tingyang, et autres
Publié: (2025)
par: Sun, Tingyang, et autres
Publié: (2025)
Learning from the Best: Active Learning for Wireless Communications
par: Soltani, Nasim, et autres
Publié: (2024)
par: Soltani, Nasim, et autres
Publié: (2024)
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
par: Camacho, José, et autres
Publié: (2019)
par: Camacho, José, et autres
Publié: (2019)
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
par: Xu, Zhiying, et autres
Publié: (2022)
par: Xu, Zhiying, et autres
Publié: (2022)
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
par: Luo, Xuanhao, et autres
Publié: (2025)
par: Luo, Xuanhao, et autres
Publié: (2025)
Online Identification of IT Systems through Active Causal Learning
par: Hammar, Kim, et autres
Publié: (2025)
par: Hammar, Kim, et autres
Publié: (2025)
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
par: Tang, Zhe, et autres
Publié: (2024)
par: Tang, Zhe, et autres
Publié: (2024)
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
par: Isah, Abubakar, et autres
Publié: (2025)
par: Isah, Abubakar, et autres
Publié: (2025)
Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
par: Hoang, Le-Hung, et autres
Publié: (2026)
par: Hoang, Le-Hung, et autres
Publié: (2026)
Channel Gain Map Construction based on Subregional Learning and Prediction
par: Chen, Jiayi, et autres
Publié: (2025)
par: Chen, Jiayi, et autres
Publié: (2025)
DyPBP: Dynamic Peer Beneficialness Prediction for Cryptocurrency P2P Networking
par: Sakib, Nazmus, et autres
Publié: (2025)
par: Sakib, Nazmus, et autres
Publié: (2025)
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems
par: Nguyen, Trung Thanh, et autres
Publié: (2024)
par: Nguyen, Trung Thanh, et autres
Publié: (2024)
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
par: Fang, Zihan, et autres
Publié: (2025)
par: Fang, Zihan, et autres
Publié: (2025)
Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
par: Liu, Yinqiu, et autres
Publié: (2025)
par: Liu, Yinqiu, et autres
Publié: (2025)
Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
par: Vo, Van-Vi, et autres
Publié: (2025)
par: Vo, Van-Vi, et autres
Publié: (2025)
Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
par: Liu, Ximeng, et autres
Publié: (2025)
par: Liu, Ximeng, et autres
Publié: (2025)
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
par: Srinivas, Pooja, et autres
Publié: (2024)
par: Srinivas, Pooja, et autres
Publié: (2024)
Towards Fair and Efficient Learning-based Congestion Control
par: Liao, Xudong, et autres
Publié: (2024)
par: Liao, Xudong, et autres
Publié: (2024)
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
par: Abdisarabshali, Payam, et autres
Publié: (2024)
par: Abdisarabshali, Payam, et autres
Publié: (2024)
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
par: He, Xingqiu, et autres
Publié: (2023)
par: He, Xingqiu, et autres
Publié: (2023)
Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
par: Kaada, Soumeya, et autres
Publié: (2024)
par: Kaada, Soumeya, et autres
Publié: (2024)
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
par: Hammar, Kim, et autres
Publié: (2020)
par: Hammar, Kim, et autres
Publié: (2020)
Reinforcement-Learning based routing for packet-optical networks with hybrid telemetry
par: Navarro, A. L. García, et autres
Publié: (2024)
par: Navarro, A. L. García, et autres
Publié: (2024)
Online Learning for Autonomous Management of Intent-based 6G Networks
par: Karakaya, Erciyes, et autres
Publié: (2024)
par: Karakaya, Erciyes, et autres
Publié: (2024)
Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning
par: Kim, WooSeok, et autres
Publié: (2026)
par: Kim, WooSeok, et autres
Publié: (2026)
Fast Heterogeneous Serving: Scalable Mixed-Scale LLM Allocation for SLO-Constrained Inference
par: Cheng, Jiaming, et autres
Publié: (2026)
par: Cheng, Jiaming, et autres
Publié: (2026)
Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
par: He, Xiaoyu, et autres
Publié: (2026)
par: He, Xiaoyu, et autres
Publié: (2026)
Learning-Augmented Online Packet Scheduling with Deadlines
par: Liang, Ya-Chun, et autres
Publié: (2023)
par: Liang, Ya-Chun, et autres
Publié: (2023)
PAMLR: A Passive-Active Multi-Armed Bandit-Based Solution for LoRa Channel Allocation
par: Yun, Jihoon, et autres
Publié: (2024)
par: Yun, Jihoon, et autres
Publié: (2024)
MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
par: Hossain, Md. Kamrul, et autres
Publié: (2026)
par: Hossain, Md. Kamrul, et autres
Publié: (2026)
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
par: Dinh, Lam, et autres
Publié: (2024)
par: Dinh, Lam, et autres
Publié: (2024)
Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
par: Nwokoye, Chukwunonso Henry, et autres
Publié: (2025)
par: Nwokoye, Chukwunonso Henry, et autres
Publié: (2025)
Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems
par: Kianpisheh, Somayeh, et autres
Publié: (2024)
par: Kianpisheh, Somayeh, et autres
Publié: (2024)
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
par: Ayoub, Omran, et autres
Publié: (2024)
par: Ayoub, Omran, et autres
Publié: (2024)
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
par: Gao, Xiaozheng, et autres
Publié: (2025)
par: Gao, Xiaozheng, et autres
Publié: (2025)
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
par: Zhang, Yinchao, et autres
Publié: (2025)
par: Zhang, Yinchao, et autres
Publié: (2025)
Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
par: Lim, Chang-Yong, et autres
Publié: (2024)
par: Lim, Chang-Yong, et autres
Publié: (2024)
FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
par: He, Sichang, et autres
Publié: (2024)
par: He, Sichang, et autres
Publié: (2024)
Documents similaires
-
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
par: Huang, Yudi, et autres
Publié: (2024) -
Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
par: Gau, Rung-Hung, et autres
Publié: (2024) -
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
par: Sun, Tingyang, et autres
Publié: (2025) -
Learning from the Best: Active Learning for Wireless Communications
par: Soltani, Nasim, et autres
Publié: (2024) -
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
par: Camacho, José, et autres
Publié: (2019)