Jinu Gong

According to our database, Jinu Gong authored at least 25 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning.

Youngjoon Lee, Hyukjoon Lee, Seungrok Jung, Andy Luo, Jinu Gong, Yang Cao, Joonhyuk Kang

CoRR, January, 2026

Residual Interference Analysis and Feasible Power Allocation Under Imperfect SIC in NOMA Systems.

Hyojin Lee, Jinu Gong, Jimyung Oh, Jeehaeng Han, Joonhyuk Kang

IEEE Wirel. Commun. Lett., 2026

Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming.

Sanghyeok Kim, Jinu Gong, Joonhyuk Kang

IEEE Wirel. Commun. Lett., 2026

CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment.

Seunghun Yu, Youngjoon Lee, Jinu Gong, Joonhyuk Kang

IEEE Commun. Lett., 2026

Forecasting-based biomedical time-series data synthesis for open data and robust AI.

Youngjoon Lee, Seongmin Cho, Yehhyun Jo, Jinu Gong, Hyunjoo Jenny Lee, Joonhyuk Kang

Comput. Biol. Medicine, 2026

2025

SHEFL: Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning.

Keumseo Ryum, Jinu Gong, Joonhyuk Kang

CoRR, August, 2025

Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

CoRR, May, 2025

A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

CoRR, April, 2025

Extended Asymptotic Outage Probability Analysis of Decode-and-Forward Cognitive Dual-Hop Systems with the Interference Constraint over Nakagami-<i>m</i> Fading Channels.

Jinu Gong, Hoojin Lee

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025

A Novel MGF Derivation for <i>α</i>-<i>κ</i>-<i>μ</i> Fading Distribution and Its Application to BER Analysis.

Jinu Gong, Hoojin Lee

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025

Debunking Optimization Myths in Federated Learning for Medical Image Classification.

Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang

Proceedings of the Efficient Medical Artificial Intelligence, 2025

Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions.

Youngjoon Lee, Jinu Gong, Sun Choi, Joonhyuk Kang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation.

Youngjoon Lee, Taehyun Park, Yunho Lee, Jinu Gong, Joonhyuk Kang

Proceedings of the IEEE International Conference on Big Data, 2025

When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data With Generative AI for Early Stopping.

Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang

Proceedings of the IEEE International Conference on Big Data, 2025

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin.

Youngjoon Lee, Jinu Gong, Joonhyuk Kang

CoRR, 2024

2023

Generalized MGF-based secrecy outage performance analysis over fading channels using mixture gamma distribution.

Jinu Gong, Joonhyuk Kang

ICT Express, October, 2023

Compressed Particle-Based Federated Bayesian Learning and Unlearning.

Jinu Gong, Osvaldo Simeone, Joonhyuk Kang

IEEE Commun. Lett., February, 2023

2021

Forget-SVGD: Particle-Based Bayesian Federated Unlearning.

Jinu Gong, Osvaldo Simeone, Rahif Kassab, Joonhyuk Kang

CoRR, 2021

Bayesian Variational Federated Learning and Unlearning in Decentralized Networks.

Jinu Gong, Osvaldo Simeone, Joonhyuk Kang

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020

Generalized MGF of Inverse Gaussian Distribution With Applications to Wireless Communications.

Jinu Gong, Hoojin Lee, Joonhyuk Kang

IEEE Trans. Veh. Technol., 2020

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

2018

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