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intelligent Mobile Edge Computing Systems Lab (or iMES)

가천대학교 본교(제1캠퍼스) IT 소프트웨어학부

이주형 교수

Federated Learning

5G-Advanced Mobile Core Automation

Edge Computing

발행물

전체 논문

91

1

Group Paging Approach in Downlink Data Transmission of eMBB for Enhancing HTC Connectivity
Jaeeun Park, Joohyung Lee, Jun Kyun Choi
,

2

Split Federated Learning-Empowered Energy-Efficient Mobile Traffic Prediction Over UAVs
Faranaksadat Solat, Joohyung Lee
,

3

DRL-enabled Adaptive Hierarchical Federated Learning Management in Multi-access Edge Computing
Suhyun Cho, Sunhwan Lim, Joohyung Lee
,

4

Optimizing Privacy and Latency Tradeoffs in Split Federated Learning over Wireless Networks: A Joint Cut Layer Selection and Differential Privacy Approach
Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor
,

5

Energy-Efficient Hybrid Federated and Centralized Learning for Edge-Based Wireless Traffic Prediction in Aerial Networks
Minsu Na, Suhyun Cho, Faranaksadat Solat, TaeHeum Na, Joohyung Lee
,

6

Predictive Dynamic Virtual Machine Scaling for Federated Learning over Edge-Cloud Interworking
Sakshi Patni, Sungpil Woo, Joohyung Lee
,

7

Heterogeneous Privacy Level-Based Client Selection for Hybrid Federated and Centralized Learning in Mobile Edge Computing
Faranaksadat Solat, Sakshi Patni, Sunhwan Lim, Joohyung Lee
,

8

Dynamic Bandwidth Slicing in PON for Federated Learning
Alaelddin F. Y. Mo., Joohyung Lee
,

9

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor
,

10

A Novel Dataset Management Scheme for Lightweight Federated Learning in Mobile Edge Computing
Jingyeom Kim, Junseok Bang, Joohyung Lee
Sensors,