Constructing 3-dimensional 5G coverage map for real-time airborne missions. - Sejin Seo; Seunghwan Kim; Sujin Kook; Sihun Baek; Seong-Lyun Kim (MobiCom, 2020)

LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. - Seungeun Oh; Jihong Park; Praneeth Vepakomma; Sihun Baek; Ramesh Raskar; Mehdi Bennis; Seong-Lyun Kim (WWW, 2022)

Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. - Sihun Baek; Jihong Park; Praneeth Vepakomma; Ramesh Raskar; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2022)

Differentially Private CutMix for Split Learning with Vision Transformer. - Seungeun Oh; Jihong Park; Sihun Baek; Hyelin Nam; Praneeth Vepakomma; Ramesh Raskar; Mehdi Bennis; Seong-Lyun Kim (CoRR, 2022)

Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix. - Seungeun Oh; Sihun Baek; Jihong Park; Hyelin Nam; Praneeth Vepakomma; Ramesh Raskar; Mehdi Bennis; Seong-Lyun Kim (Trans. Mach. Learn. Res., 2024)