4 papers · 1 filter
Importance-Aware Feature Sparsification for Wireless Split Learning
Bumjun Kim, Yoon Huh, Wan Choi
Wireless split learning (SL) reduces on-device computation by offloading upper layers to a server, yet transmitting high-dimensional intermediate features at each iteration remains…
Differential Privacy in Feature Reconstruction Aided Federated Learning for Agent's Semantic Communication Model Update
Yoon Huh, Bumjun Kim, Wan Choi
This paper proposes a differentially private federated learning (FL) framework built upon an FL algorithm with semantic feature reconstruction (FedSFR) for training semantic commun…
Markov-Enforced Discrete Diffusion Model for Digital Semantic Symbol Error Correction
Yoon Huh, Jeongho Kang, Wan Choi
Diffusion models (DMs) have achieved remarkable success across various domains owing to their strong generative and denoising capabilities. Meanwhile, semantic communication based…
Extended Universal Joint Source-Channel Coding for Digital Semantic Communications: Improving Channel-Adaptability
Eunsoo Kim, Yoon Huh, Wan Choi
Deep learning (DL)-based joint source--channel coding (JSCC), particularly vector quantization (VQ)-based JSCC, enables efficient semantic communication by mapping high-dimensional…