Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Ng, Jer Shyuan, Kalapaaking, Aditya Pribadi, Xia, Xiaoyu, Niyato, Dusit, Khalil, Ibrahim, Gondal, Iqbal |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
por: Ng, Jer Shyuan, et al.
Publicado: (2026)
por: Ng, Jer Shyuan, et al.
Publicado: (2026)
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
por: Li, Yang, et al.
Publicado: (2024)
por: Li, Yang, et al.
Publicado: (2024)
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
por: Lee, Seunghyun, et al.
Publicado: (2025)
por: Lee, Seunghyun, et al.
Publicado: (2025)
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
por: Shao, Jiaqi, et al.
Publicado: (2023)
por: Shao, Jiaqi, et al.
Publicado: (2023)
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
por: Mujtaba, Ahmed, et al.
Publicado: (2025)
por: Mujtaba, Ahmed, et al.
Publicado: (2025)
Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
por: Wang, Shilong, et al.
Publicado: (2025)
por: Wang, Shilong, et al.
Publicado: (2025)
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis
por: Chen, Shuaijun, et al.
Publicado: (2023)
por: Chen, Shuaijun, et al.
Publicado: (2023)
Lightweight Federated Learning over Wireless Edge Networks
por: Hou, Xiangwang, et al.
Publicado: (2025)
por: Hou, Xiangwang, et al.
Publicado: (2025)
Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities
por: Chen, Zhixiong, et al.
Publicado: (2026)
por: Chen, Zhixiong, et al.
Publicado: (2026)
Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse
por: Ding, Yahao, et al.
Publicado: (2024)
por: Ding, Yahao, et al.
Publicado: (2024)
Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
por: Qiu, Houming, et al.
Publicado: (2025)
por: Qiu, Houming, et al.
Publicado: (2025)
SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data
por: Xu, Yang, et al.
Publicado: (2023)
por: Xu, Yang, et al.
Publicado: (2023)
Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning
por: Liu, Zhang, et al.
Publicado: (2026)
por: Liu, Zhang, et al.
Publicado: (2026)
Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
por: Ding, Yahao, et al.
Publicado: (2026)
por: Ding, Yahao, et al.
Publicado: (2026)
Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
por: Ahn, Seyoung, et al.
Publicado: (2022)
por: Ahn, Seyoung, et al.
Publicado: (2022)
Empowering Data Mesh with Federated Learning
por: Li, Haoyuan, et al.
Publicado: (2024)
por: Li, Haoyuan, et al.
Publicado: (2024)
Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning
por: Qiu, Houming, et al.
Publicado: (2024)
por: Qiu, Houming, et al.
Publicado: (2024)
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
por: Gao, Wentao, et al.
Publicado: (2024)
por: Gao, Wentao, et al.
Publicado: (2024)
Split Federated Learning Empowered Vehicular Edge Intelligence: Concept, Adaptive Design and Future Directions
por: Qiang, Xianke, et al.
Publicado: (2024)
por: Qiang, Xianke, et al.
Publicado: (2024)
Federated Customization of Large Models: Approaches, Experiments, and Insights
por: Ye, Yuchuan, et al.
Publicado: (2026)
por: Ye, Yuchuan, et al.
Publicado: (2026)
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
por: Morafah, Mahdi, et al.
Publicado: (2024)
por: Morafah, Mahdi, et al.
Publicado: (2024)
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
por: Navardi, Mozhgan, et al.
Publicado: (2025)
por: Navardi, Mozhgan, et al.
Publicado: (2025)
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
por: Islam, Md Sirajul, et al.
Publicado: (2024)
por: Islam, Md Sirajul, et al.
Publicado: (2024)
Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions
por: Liu, Guangyuan, et al.
Publicado: (2026)
por: Liu, Guangyuan, et al.
Publicado: (2026)
Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
por: Rashid, Sulaiman Muhammad, et al.
Publicado: (2025)
por: Rashid, Sulaiman Muhammad, et al.
Publicado: (2025)
Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
por: Cox, Bart, et al.
Publicado: (2026)
por: Cox, Bart, et al.
Publicado: (2026)
Empowering Distributed Training with Sparsity-driven Data Synchronization
por: Wang, Zhuang, et al.
Publicado: (2023)
por: Wang, Zhuang, et al.
Publicado: (2023)
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
por: Yang, Yuwen, et al.
Publicado: (2024)
por: Yang, Yuwen, et al.
Publicado: (2024)
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
por: Zhang, Tianru, et al.
Publicado: (2022)
por: Zhang, Tianru, et al.
Publicado: (2022)
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data
por: Feng, Chao, et al.
Publicado: (2024)
por: Feng, Chao, et al.
Publicado: (2024)
Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum
por: Marcelino, Cynthia, et al.
Publicado: (2024)
por: Marcelino, Cynthia, et al.
Publicado: (2024)
Cost-Effective Edge Data Distribution with End-To-End Delay Guarantees in Edge Computing
por: Shankar, Ravi, et al.
Publicado: (2025)
por: Shankar, Ravi, et al.
Publicado: (2025)
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
por: Wang, Naibo, et al.
Publicado: (2024)
por: Wang, Naibo, et al.
Publicado: (2024)
EDD-NSTE: Edge Data Distribution as a Network Steiner Tree Estimation in Edge Computing
por: Shankar, Ravi, et al.
Publicado: (2025)
por: Shankar, Ravi, et al.
Publicado: (2025)
Open Science Data Federation -- operation and monitoring
por: Andrijauskas, Fabio, et al.
Publicado: (2026)
por: Andrijauskas, Fabio, et al.
Publicado: (2026)
CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
por: Hong, Guihang, et al.
Publicado: (2025)
por: Hong, Guihang, et al.
Publicado: (2025)
Literature Study on Operational Data Analytics Frameworks in Large-scale Computing Infrastructures
por: Suman, Shekhar, et al.
Publicado: (2026)
por: Suman, Shekhar, et al.
Publicado: (2026)
DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
por: Liu, Guangyuan, et al.
Publicado: (2025)
por: Liu, Guangyuan, et al.
Publicado: (2025)
Generalized Data Placement Strategies for Racetrack Memories
por: Khan, Asif Ali, et al.
Publicado: (2019)
por: Khan, Asif Ali, et al.
Publicado: (2019)
Eventually-Consistent Federated Scheduling for Data Center Workloads
por: Thiyyakat, Meghana, et al.
Publicado: (2023)
por: Thiyyakat, Meghana, et al.
Publicado: (2023)
Ejemplares similares
-
Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
por: Ng, Jer Shyuan, et al.
Publicado: (2026) -
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
por: Li, Yang, et al.
Publicado: (2024) -
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
por: Lee, Seunghyun, et al.
Publicado: (2025) -
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
por: Shao, Jiaqi, et al.
Publicado: (2023) -
Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
por: Mujtaba, Ahmed, et al.
Publicado: (2025)