From Learning to Meta-Learning: Reduced Training Overhead and Complexity
for Communication Systems

From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems

6G Wireless Summit (6G Summit), 2020

5 January 2020

Osvaldo Simeone

Sangwoo Park

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Papers citing "From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems"

19 / 19 papers shown

Title
Turbo-ICL: In-Context Learning-Based Turbo Equalization Zihang Song Matteo Zecchin Bipin Rajendran Osvaldo Simeone 175 2 0 09 May 2025
Decision Feedback In-Context Learning for Wireless Symbol Detection Li Fan Jing Yang Jing Yang Cong Shen 322 0 0 20 Mar 2025
Leveraging Large Language Models for Wireless Symbol Detection via In-Context LearningGlobal Communications Conference (GLOBECOM), 2024 Momin Abbas Koushik Kar Tianyi Chen 251 14 0 28 Aug 2024
Cell-Free Multi-User MIMO Equalization via In-Context Learning Matteo Zecchin Kai Yu Osvaldo Simeone 152 13 0 08 Apr 2024
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip TrainingOptical Fiber Communications Conference and Exhibition (OFC), 2022 Keren Liu E. Börjeson Christian Hager P. Larsson-Edefors 144 5 0 07 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task LearningIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022 S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 113 1 0 02 Dec 2022
Online Bayesian Meta-Learning for Cognitive Tracking RadarIEEE Transactions on Aerospace and Electronic Systems (TAES), 2022 C. Thornton R. M. Buehrer A. Martone 157 7 0 07 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and ApplicationsIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022 Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 157 24 0 01 Jul 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated LearningIEEE Transactions on Green Communications and Networking (IEEE TGCN), 2022 S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 119 50 0 21 Jun 2022
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC CodesIEEE Transactions on Communications (IEEE Trans. Commun.), 2021 Salman Habib Allison Beemer Joerg Kliewer 261 7 0 27 Dec 2021
Modular Meta-Learning for Power Control via Random Edge Graph Neural NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2021 I. Nikoloska Osvaldo Simeone 216 26 0 04 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 309 14 0 02 Aug 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural NetworksInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 I. Nikoloska Osvaldo Simeone 173 24 0 02 May 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic OptimizationIEEE Transactions on Signal Processing (TSP), 2020 Tianyi Chen Yuejiao Sun W. Yin 187 85 0 25 Aug 2020
Team Deep Mixture of Experts for Distributed Power ControlInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020 Matteo Zecchin David Gesbert Marios Kountouris 183 4 0 28 Jul 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 256 49 0 09 May 2020
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020 Sangwoo Park Osvaldo Simeone Joonhyuk Kang 156 45 0 03 Mar 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO DetectionIEEE Transactions on Wireless Communications (TWC), 2020 Stefano Rini Rong Fu Yonina C. Eldar 176 115 0 08 Feb 2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention Nir Raviv Avi Caciularu Tomer Raviv Jacob Goldberger Yair Be’ery 201 9 0 06 Feb 2020