A novel group management scheme of clustered federated learning for mobile traffic prediction in mobile edge computing systems. - Faranaksadat Solat; Tae Yeon Kim 003; Joohyung Lee 001 (J. Commun. Networks, 2023)

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 001 (IEEE Access, 2024)

Heterogeneous Privacy Level-Based Client Selection for Hybrid Federated and Centralized Learning in Mobile Edge Computing. - Faranaksadat Solat; Sakshi Patni; Sunhwan Lim; Joohyung Lee 001 (IEEE Access, 2024)

Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core. - Joohyung Lee 001; Faranaksadat Solat; Tae Yeon Kim 003; H. Vincent Poor (IEEE Commun. Surv. Tutorials, 2024)

Split Federated Learning-Empowered Energy-Efficient Mobile Traffic Prediction Over UAVs. - Faranaksadat Solat; Joohyung Lee 001; Dusit Niyato (IEEE Wirel. Commun. Lett., 2024)

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission. - Faranaksadat Solat; Joohyung Lee 001; Mohamed Seif; Dusit Niyato; H. Vincent Poor (CoRR, 2025)