A Novel Ergodic Capacity Formula for Two-Wave with Diffuse Power Fading Channels. - Jinu Gong; Hoojin Lee; Joonhyuk Kang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

On the Calculation of the G-MGF for Two-Ray Fading Model with Its Applications in Communications. - Jinu Gong; Hoojin Lee; Rumin Yang; Joonhyuk Kang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Generalized MGF of Inverse Gaussian Distribution With Applications to Wireless Communications. - Jinu Gong; Hoojin Lee; Joonhyuk Kang (IEEE Trans. Veh. Technol., 2020)

Bayesian Variational Federated Learning and Unlearning in Decentralized Networks. - Jinu Gong; Osvaldo Simeone; Joonhyuk Kang (SPAWC, 2021)

Forget-SVGD: Particle-Based Bayesian Federated Unlearning. - Jinu Gong; Osvaldo Simeone; Rahif Kassab; Joonhyuk Kang (CoRR, 2021)

Compressed Particle-Based Federated Bayesian Learning and Unlearning. - Jinu Gong; Osvaldo Simeone; Joonhyuk Kang (IEEE Commun. Lett., 2023)

Generalized MGF-based secrecy outage performance analysis over fading channels using mixture gamma distribution. - Jinu Gong; Joonhyuk Kang (ICT Express, 2023)

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2024)

Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2024)

Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. - Youngjoon Lee; Taehyun Park; Yunho Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions. - Youngjoon Lee; Jinu Gong; Sun Choi; Joonhyuk Kang (CoRR, 2025)

A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes. - Youngjoon Lee; Jinu Gong; Joonhyuk Kang (CoRR, 2025)

Debunking Optimization Myths in Federated Learning for Medical Image Classification. - Youngjoon Lee; Hyukjoon Lee; Jinu Gong; Yang Cao; Joonhyuk Kang (CoRR, 2025)