8 papers
End-to-End Secure Connection Probability in MultiLayer Networks with Heterogeneous Rician Fading
Hyeonsu Lyu, Yumin Kim, Hyun Jong Yang
Ensuring physical-layer security in non-terrestrial networks (NTNs) is challenging due to their global coverage and multi-hop relaying across heterogeneous network layers, where th…
Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty
Yumin Kim, Hyeonsu Lyu, Minjae Lee +1
Large language models (LLMs) offer significant potential for intelligent mobile services but are computationally intensive for resource-constrained devices. Mobile edge computing (…
Faithful and Fast Influence Function via Advanced Sampling
Jungyeon Koh, Hyeonsu Lyu, Jonggyu Jang +1
How can we explain the influence of training data on black-box models? Influence functions (IFs) offer a post-hoc solution by utilizing gradients and Hessians. However, computing t…
Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications
Minwoo Kim, Youngchol Choi, Yeongjun Kim +2
Underwater acoustic (UWA) communications generally rely on cognitive radio (CR)-based ad-hoc networks due to challenges such as long propagation delay, limited channel resources, a…
Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness
Jonggyu Jang, Hyeonsu Lyu, David J. Love +1
User association, the problem of assigning each user device to a suitable base station, is increasingly crucial as wireless networks become denser and serve more users with diverse…
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
Jonggyu Jang, Hyeonsu Lyu, David J. Love +1
As 6G and beyond networks grow increasingly complex and interconnected, federated learning (FL) emerges as an indispensable paradigm for securely and efficiently leveraging decentr…