Meta-Learning to Communicate: Fast End-to-End Training for Fading
Channels

Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels

22 October 2019

Sangwoo Park

Osvaldo Simeone

Papers citing "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

8 / 8 papers shown

Title
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 38 7 0 29 Oct 2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition Sangwoo Park Osvaldo Simeone 26 4 0 23 Mar 2022
Hybrid Neural Coded Modulation: Design and Training Methods S. Lim Jiyong Han Wonjong Noh Yujae Song Sang-Woon Jeon 26 5 0 04 Feb 2022
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation Sangwoo Park Osvaldo Simeone 34 8 0 01 Oct 2021
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 39 42 0 03 Mar 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 31 62 0 05 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,171 0 02 Feb 2017