Conference

Y. Lee, H. Lee, S. Jung, A. Luo, J. Gong, Y. Cao, and J. Kang, “Data-free early stopping for federated learning with consensus of local task vectors,” in Proc. 2026 IEEE 46th Int. Conf. Distrib. Comput. Syst. Workshops (ICDCSW), 2026, pp. 29–32. 

Y. Lee, J. Gong, and J. Kang*, “Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning,” in Proc. 34th ACM Int. Conf. on Information and Knowledge Management (CIKM ’25), Seoul, Republic of Korea, Nov. 2025, pp. 4925–4929.

Y. Lee, H. Lee, J. Gong, C. Yang, and J. Kang*, “Debunking Optimization Myths in Federated Learning for Medical Image Classification” in Proc. EMA4MICCAI Workshop, 2025.

Y. Lee, H. Lee, J. Gong, C. Yang, and J. Kang*, "When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping", in Proc. IEEE Bigdata, 2025.

Y. Lee, T. Park, Y. Lee, J. Gong, and J. Kang*, "Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation", in Proc. IEEE Bigdata, The 3rd International Workshop on Dataspaces and Digital Twins for Critical Entities and Smart Urban Communities, 2025.

Y. Lee, J. Gong, and J. Kang*, " Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks", in Proc. IEEE Bigdata, D2ET Workshop, 2025.

Y. Lee, J. Gong, and J. Kang*, “Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes”, in Proc. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2025.

Y. Lee, J. Gong, and J. Kang*, “Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring Plugin”, in Proc. G(GlobeCom), 2025.

Y. Lee, J. Gong, S. Choi, and J. Kang*, “Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions,” in Proc. Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025. 

J. Gong, J. Kang, O. Simeone, and R. Kassab, “Forget-SVGD: Particle-based Bayesian federated unlearning”, in 2022 IEEE Data Science and Learning Workshop (DSLW), 2022, pp. 1–6.

J. Kim, J. Gong, S. Kim, and J. Kang, “Secure UAV Communications with Transmit-array Antenna”, in 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), IEEE, 2022, pp. 1–4.

J. Gong, O. Simeone, and J. Kang, “Bayesian variational federated learning and unlearning in decentralized networks”, in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 216–220.