108 citations · 158 across the 43 of their papers we have counts for
4 papers · 1 filter
Communication-Efficient Federated Learning over MIMO Multiple Access Channels
Yo-Seb Jeon, Mohammad Mohammadi Amiri, Namyoon Lee
Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated learning over multiple…
MetaSSD: Meta-Learned Self-Supervised Detection
Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon +1
Deep learning-based symbol detector gains increasing attention due to the simple algorithm design than the traditional model-based algorithms such as Viterbi and BCJR. The supervis…
Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning
Tae-Kyoung Kim, Yo-Seb Jeon, Jun Li +2
Data-aided channel estimation is a promising solution to improve channel estimation accuracy by exploiting data symbols as pilot signals for updating an initial channel estimate. I…
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen +1
In this paper, a new communication-efficient federated learning (FL) framework is proposed, inspired by vector quantized compressed sensing. The basic strategy of the proposed fram…