M$^2$FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices
Fuente:
arXiv
Guardado en:
| Autores principales: | Nepal, Manjil, Phan, Kimsie, Ojha, Tamoghna, Dutta, Aritra, Prasad, M Krishna Siva |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Heterogeneity-aware P2P Wireless Energy Transfer for Balanced Energy Distribution
por: Ojha, Tamoghna, et al.
Publicado: (2022)
por: Ojha, Tamoghna, et al.
Publicado: (2022)
FedJam: Multimodal Federated Learning Framework for Jamming Detection
por: Panitsas, Ioannis, et al.
Publicado: (2025)
por: Panitsas, Ioannis, et al.
Publicado: (2025)
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning
por: Qu, Yuben, et al.
Publicado: (2020)
por: Qu, Yuben, et al.
Publicado: (2020)
RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge
por: Wu, Beining, et al.
Publicado: (2026)
por: Wu, Beining, et al.
Publicado: (2026)
Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction
por: Amorosa, Lorenzo Mario, et al.
Publicado: (2026)
por: Amorosa, Lorenzo Mario, et al.
Publicado: (2026)
ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT
por: Salimi, Ali, et al.
Publicado: (2026)
por: Salimi, Ali, et al.
Publicado: (2026)
Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks
por: Sezgin, Yusuf Emir, et al.
Publicado: (2025)
por: Sezgin, Yusuf Emir, et al.
Publicado: (2025)
FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring
por: Vatani, Hanie, et al.
Publicado: (2025)
por: Vatani, Hanie, et al.
Publicado: (2025)
Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning
por: Liu, Jingyuan, et al.
Publicado: (2025)
por: Liu, Jingyuan, et al.
Publicado: (2025)
Optimized Split Computing Framework for Edge and Core Devices
por: Tassi, Andrea, et al.
Publicado: (2025)
por: Tassi, Andrea, et al.
Publicado: (2025)
HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork
por: Chen, Xingyun, et al.
Publicado: (2024)
por: Chen, Xingyun, et al.
Publicado: (2024)
Personalized Federated Deep Reinforcement Learning for Heterogeneous Edge Content Caching Networks
por: Li, Zhen, et al.
Publicado: (2024)
por: Li, Zhen, et al.
Publicado: (2024)
pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
por: Ni, Zhou, et al.
Publicado: (2025)
por: Ni, Zhou, et al.
Publicado: (2025)
FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading
por: Ma, Mulei, et al.
Publicado: (2024)
por: Ma, Mulei, et al.
Publicado: (2024)
Evaluation of Spectrum Sharing Algorithms for Networks with Heterogeneous Wireless Devices
por: Walishetti, Ankit, et al.
Publicado: (2024)
por: Walishetti, Ankit, et al.
Publicado: (2024)
On the Optimization of Model Aggregation for Federated Learning at the Network Edge
por: Li, Mengyao, et al.
Publicado: (2025)
por: Li, Mengyao, et al.
Publicado: (2025)
Federated Learning for Iot/Edge/Fog Computing Systems
por: Hasan, Balqees Talal, et al.
Publicado: (2024)
por: Hasan, Balqees Talal, et al.
Publicado: (2024)
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks
por: Albaseer, Abdullatif, et al.
Publicado: (2024)
por: Albaseer, Abdullatif, et al.
Publicado: (2024)
Federated Parameter-Efficient Adaptation for Interference Mitigation at the Wireless Edge
por: Jones, Evar, et al.
Publicado: (2026)
por: Jones, Evar, et al.
Publicado: (2026)
Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning
por: Dao, Nhu-Ngoc, et al.
Publicado: (2017)
por: Dao, Nhu-Ngoc, et al.
Publicado: (2017)
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
por: Zeydan, Engin, et al.
Publicado: (2025)
por: Zeydan, Engin, et al.
Publicado: (2025)
Blockchain-Driven Federation for Distributed Edge Systems: Design and Experimental Validation
por: Zahir, Adam, et al.
Publicado: (2025)
por: Zahir, Adam, et al.
Publicado: (2025)
LeFi: Learn to Incentivize Federated Learning in Automotive Edge Computing
por: Zhao, Ming, et al.
Publicado: (2023)
por: Zhao, Ming, et al.
Publicado: (2023)
AirChain: A Novel Blockchain Framework and Low-Cost Device for Democratized Air Quality Data Aggregation
por: Stankiewicz, Samuel
Publicado: (2024)
por: Stankiewicz, Samuel
Publicado: (2024)
Joint Communication and Over-the-Air Computation for Semi-Federated Learning Towards Scalable AI in Computing-Heterogeneous IoT Systems
por: Ni, Wanli, et al.
Publicado: (2024)
por: Ni, Wanli, et al.
Publicado: (2024)
A Novel Technique to Parameterize Congestion Control in 6TiSCH IIoT Networks
por: Chakraborty, Kushal, et al.
Publicado: (2024)
por: Chakraborty, Kushal, et al.
Publicado: (2024)
Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
por: Izadi, Saadat, et al.
Publicado: (2025)
por: Izadi, Saadat, et al.
Publicado: (2025)
Modality-Tailored Age of Information for Multimodal Data in Edge Computing Systems
por: Liu, Ying, et al.
Publicado: (2026)
por: Liu, Ying, et al.
Publicado: (2026)
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
por: Chua, Terence Jie, et al.
Publicado: (2023)
por: Chua, Terence Jie, et al.
Publicado: (2023)
FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks
por: Qi, Houyi, et al.
Publicado: (2025)
por: Qi, Houyi, et al.
Publicado: (2025)
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems
por: Nguyen, Trung Thanh, et al.
Publicado: (2024)
por: Nguyen, Trung Thanh, et al.
Publicado: (2024)
Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
por: Izadi, Saadat, et al.
Publicado: (2026)
por: Izadi, Saadat, et al.
Publicado: (2026)
Adaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things
por: Izadi, Saadat, et al.
Publicado: (2026)
por: Izadi, Saadat, et al.
Publicado: (2026)
SDFog: A Software Defined Computing Architecture for QoS Aware Service Orchestration over Edge Devices
por: Gupta, Harshit, et al.
Publicado: (2016)
por: Gupta, Harshit, et al.
Publicado: (2016)
FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
por: Ji, Yun, et al.
Publicado: (2025)
por: Ji, Yun, et al.
Publicado: (2025)
SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing
por: Ding, Zihao, et al.
Publicado: (2026)
por: Ding, Zihao, et al.
Publicado: (2026)
Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR
por: Zhou, Conghao, et al.
Publicado: (2023)
por: Zhou, Conghao, et al.
Publicado: (2023)
VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing
por: Yeddulapalli, Hemanth Sai, et al.
Publicado: (2024)
por: Yeddulapalli, Hemanth Sai, et al.
Publicado: (2024)
Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks
por: Ding, Zihao, et al.
Publicado: (2026)
por: Ding, Zihao, et al.
Publicado: (2026)
FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
por: He, Sichang, et al.
Publicado: (2024)
por: He, Sichang, et al.
Publicado: (2024)
Ejemplares similares
-
Heterogeneity-aware P2P Wireless Energy Transfer for Balanced Energy Distribution
por: Ojha, Tamoghna, et al.
Publicado: (2022) -
FedJam: Multimodal Federated Learning Framework for Jamming Detection
por: Panitsas, Ioannis, et al.
Publicado: (2025) -
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning
por: Qu, Yuben, et al.
Publicado: (2020) -
RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge
por: Wu, Beining, et al.
Publicado: (2026) -
Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction
por: Amorosa, Lorenzo Mario, et al.
Publicado: (2026)