| Adaptive resource optimized edge federated learning in real-time image sensing classifications P Tam, S Math, C Nam, S Kim IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 45 | 2021 |
| Applicability of deep reinforcement learning for efficient federated learning in massive IoT communications P Tam, R Corrado, C Eang, S Kim Applied Sciences 13 (5), 3083, 2023 | 34 | 2023 |
| Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications P Tam, I Song, S Kang, S Ros, S Kim Electronics 11 (20), 3371, 2022 | 33 | 2022 |
| Reliable federated learning systems based on intelligent resource sharing scheme for big data internet of things S Math, P Tam, S Kim IEEE Access 9, 108091-108100, 2021 | 27 | 2021 |
| Optimized multi-service tasks offloading for federated learning in edge virtualization P Tam, S Math, S Kim IEEE Transactions on Network Science and Engineering 9 (6), 4363-4378, 2022 | 26 | 2022 |
| Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT. P Tam, S Math, A Lee, S Kim Computers, Materials & Continua 71 (2), 2022 | 23 | 2022 |
| Intelligent massive traffic handling scheme in 5G bottleneck backhaul networks P Tam, S Math, S Kim KSII Transactions on Internet and Information Systems (TIIS) 15 (3), 874-890, 2021 | 20 | 2021 |
| DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency I Song, P Tam, S Kang, S Ros, S Kim Electronics 12 (13), 2984, 2023 | 16 | 2023 |
| A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches P Tam, S Ros, I Song, S Kang, S Kim Electronics 13 (5), 994, 2024 | 11 | 2024 |
| A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing S Math, P Tam, A Lee, S Kim Personal and Ubiquitous Computing 27 (3), 1065-1075, 2023 | 11 | 2023 |
| Efficient resource slicing scheme for optimizing federated learning communications in software-defined IoT networks P Tam, S Math, S Kim Journal of Internet Computing and Services 22 (5), 27-33, 2021 | 10 | 2021 |
| Priority-aware resource management for adaptive service function chaining in real-time intelligent IoT services P Tam, S Math, S Kim Electronics 11 (19), 2976, 2022 | 9 | 2022 |
| Intelligent Massive Traffic Handling Scheme in 5G Bottleneck Backhaul Networks, Internet Inf P Tam, S Math, S Kim Syst 15 (3), 874-890, 2021 | 8 | 2021 |
| Intelligent media forensics and traffic handling scheme in 5G edge networks S Math, P Tam, S Kim Security and Communication Networks 2021 (1), 5589352, 2021 | 8 | 2021 |
| Intelligent Real-Time IoT Traffic Steering in 5G Edge Networks. S Math, P Tam, S Kim Computers, Materials & Continua 67 (3), 2021 | 7 | 2021 |
| Modified deep reinforcement learning agent for dynamic resource placement in IoT network slicing S Ros, P Tam, S Kim Journal of Internet Computing and Services 23 (5), 17-23, 2022 | 6 | 2022 |
| Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT C Eang, S Ros, S Kang, I Song, P Tam, S Math, S Kim Electronics 13 (7), 1218, 2024 | 5 | 2024 |
| A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking S Ros, P Tam, I Song, S Kang, S Kim Electronic Research Archive 32 (2), 1333-1364, 2024 | 5 | 2024 |
| Large-scale service function chaining management and orchestration in smart city P Tam, S Kang, S Ros, I Song, S Kim Electronics 12 (19), 4018, 2023 | 5 | 2023 |
| Enhancing QoS with LSTM-Based Prediction for Congestion-Aware Aggregation Scheduling in Edge Federated Learning P Tam, S Kang, S Ros, S Kim Electronics 12 (17), 3615, 2023 | 5 | 2023 |
Seokhoon KimSoonchunhyang University確認したメール アドレス: sch.ac.kr