Alexandros Gkillas

Orcid: 0000-0001-5339-2018

According to our database1, Alexandros Gkillas authored at least 24 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A Federated Deep Unrolling Method for Lidar Super-Resolution: Benefits in SLAM.
IEEE Trans. Intell. Veh., January, 2024

Federated Data-Driven Kalman Filtering for State Estimation.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Personalized Federated Learning for Cross-View Geo-Localization.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Privacy-Preserving Federated Deep-Equilibrium Learning for Medical Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cooperative Plug-and-Play-KalmanNet for 4D situational awareness in autonomous driving.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

A Real-time Explainable-by-design Super-Resolution Model for LiDAR SLAM.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023
Cost-efficient coupled learning methods for recovering near-infrared information from RGB signals: Application in precision agriculture.
Comput. Electron. Agric., June, 2023

Connections Between Deep Equilibrium and Sparse Representation Models With Application to Hyperspectral Image Denoising.
IEEE Trans. Image Process., 2023

An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees.
CoRR, 2023

Deep Federated Unrolling for Boosting Low-Resolution Lidar-Based SLAM Solutions.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

An Efficient Deep Unrolling Super-Resolution Network for Lidar Automotive Scenes.
Proceedings of the IEEE International Conference on Image Processing, 2023

Resource Efficient Federated Learning for Deep Anomaly Detection in Industrial IoT applications.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Learning for Lidar Super Resolution on Automotive Scenes.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Deep Feature Extraction-based SLAM for Autonomous Vehicles.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Subspace Parsimonious Dictionary Learning and its use in Federated Learning.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

A Highly Interpretable Deep Equilibrium Network for Hyperspectral Image Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Equilibrium Models Meet Federated Learning.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Deep Equilibrium Assisted Block Sparse Coding of Inter-dependent Signals: Application to Hyperspectral Imaging.
CoRR, 2022

Federated Dictionary Learning from Non-IID Data.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Missing Data Imputation for Multivariate Time series in Industrial IoT: A Federated Learning Approach.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021
A cross-domain recommender system using deep coupled autoencoders.
CoRR, 2021

A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision Agriculture.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fast Sparse Coding Algorithms for Piece-wise Smooth Signals.
Proceedings of the 28th European Signal Processing Conference, 2020


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