most citedFed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG2025

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…

eess.SP2025

Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming

Hyeonho Noh, Hyeonsu Lyu, Hyun Jong Yang

This paper explores an integrated sensing and communication (ISAC) network empowered by multiple active simultaneously transmitting and reflecting reconfigurable intelligent surfac…

eess.SP2025

DCFNet: Doppler Correction Filter Network for Integrated Sensing and Communication in Multi-User MIMO-OFDM Systems

Hyeonho Noh, Hyeonsu Lyu, Moe Z. Win +1

Integrated sensing and communication (ISAC) is a headline feature for the forthcoming IMT-2030 and 6G releases, yet a concrete solution that fits within the established orthogonal…

eess.SP2025

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…

eess.SP2025

Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks

Hyeonsu Lyu, Hyeonho Noh, Hyun Jong Yang +1

As a key enabler of borderless and ubiquitous connectivity, space-air-ground-sea integrated networks (SAGSINs) are expected to be a cornerstone of 6G wireless communications. Howev…

cs.LG20241 cited

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…