Conference
|
2024 |
Device Selection for Passive RIS-Assisted Over-the-Air Federated Learning
Kim Minsik International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1098-1099 |
0 |
원문
|
Journal
|
2024 |
Energy-Efficient Hybrid Federated and Centralized Learning for Edge-Based Wireless Traffic Prediction in Aerial Networks
조수현 IEEE Access, v.12, pp.130983-130994 |
0 |
원문
|
Journal
|
2024 |
Energy-Efficient Hybrid Federated and Centralized Learning for Edge-Based Wireless Traffic Prediction in Aerial Networks
나민수 IEEE Access, v.12, pp.130983-130994 |
0 |
원문
|
Journal
|
2024 |
DRL-empowered joint batch size and weighted aggregation adjustment mechanism for federated learning on non-IID data
방준석 ICT EXPRESS, v.10, no.4, pp.863-870 |
0 |
원문
|
Journal
|
2024 |
Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
이주형 IEEE Communications Surveys and Tutorials, v.26, no.3, pp.2176-2212 |
32 |
원문
|
Conference
|
2024 |
Federated Learning for User Mobility Classification in 5G Heterogeneous Networks
Syed Maaz Shahid Vehicular Technology Conference (VTC) 2024 (Spring), pp.1-6 |
0 |
원문
|
Journal
|
2024 |
Adaptive DFL‐based straggler mitigation mechanism for synchronous ring topology in digital twin networks
Qazi Waqas Khan IET Collaborative Intelligent Manufacturing, v.6, no.3, pp.1-23 |
3 |
원문
|
Journal
|
2024 |
Layer-Wise Personalized Federated Learning for Mobile Traffic Prediction
Seungyeol Lee IEEE Access, v.12, pp.53126-53140 |
5 |
원문
|
Journal
|
2024 |
Deep Reinforcement Learning-Empowered Cost-Effective Federated Video Surveillance Management Framework
Dilshod Bazarov Ravshan Ugli Sensors, v.24, no.7, pp.1-19 |
0 |
원문
|
Journal
|
2024 |
Joint Edge Server Selection and Data Set Management for Federated-Learning-Enabled Mobile Traffic Prediction
Seungjae Shin IEEE Internet of Things Journal, v.11, no.3, pp.4971-4986 |
11 |
원문
|
Journal
|
2024 |
Joint Edge Server Selection and Data Set Management for Federated-Learning-Enabled Mobile Traffic Prediction
김도연 IEEE Internet of Things Journal, v.11, no.3, pp.4971-4986 |
11 |
원문
|
Journal
|
2024 |
Standardization and technology trends of artificial intelligence for mobile systems
Yeh Choongil Computer Communications, v.213, pp.169-178 |
3 |
원문
|
Conference
|
2023 |
Federated learning for moderating server-side bias
Seo Jihyun International Conference on Ubiquitous Information Technologies and Applications (CUTE) 2023, pp.1-6 |
|
|
Journal
|
2023 |
Design of Block Codes for Distributed Learning in VR/AR Transmission
황서희 Journal of Information and Communication Convergence Engineering, v.21, no.4, pp.300-305 |
0 |
원문
|
Journal
|
2023 |
A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning
Anam Nawaz Khan INTERNET OF THINGS, v.23, pp.1-19 |
13 |
원문
|
Conference
|
2023 |
Federated Learning in Prediction of Dementia Stage: An Experimental Study
Eom Bo Yun International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1785-1788 |
2 |
원문
|
Journal
|
2023 |
Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment
Sa Jim Soe Moe IEEE Access, v.11, pp.109010-109026 |
8 |
원문
|
Conference
|
2023 |
Federated Learning Using Blockchain-based Marketplace
Eom Bo Yun International Conference on Ubiquitous and Future Networks (ICUFN) 2023, pp.795-797 |
0 |
원문
|
Journal
|
2023 |
Data Distribution-Aware Online Client Selection Algorithm for Federated Learning in Heterogeneous Networks
Jaewook Lee IEEE Transactions on Vehicular Technology, v.72, no.1, pp.1127-1136 |
27 |
원문
|
Journal
|
2022 |
Research Trends of Multi-agent Collaboration Technology for Artificial Intelligence Bots
Kang Dong-Oh 전자통신동향분석, v.37, no.6, pp.32-42 |
|
원문
|