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# Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning
This repository contains code of the paper abstract `Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning` submitted to IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023. This work has been done at the [Remote Sensing Image Analysis group](https://www.rsim.tu-berlin.de/menue/remote_sensing_image_analysis_group/) by [Baris Buyuktas](https://rsim.berlin/team/members/baris-buyuktas), [Gencer Sumbul](https://rsim.berlin/team/members/gencer-sumbul), and [Begüm Demir](https://begumdemir.com/).
This repository contains the code of the paper `Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning` accepted at IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023. This work has been done at the [Remote Sensing Image Analysis group](https://www.rsim.tu-berlin.de/menue/remote_sensing_image_analysis_group/) by [Baris Buyuktas](https://rsim.berlin/team/members/baris-buyuktas), [Gencer Sumbul](http://www.user.tu-berlin.de/gencersumbul/), and [Begüm Demir](https://begumdemir.com/).
If you use this code, please cite our paper given below:
> B. Buyuktas, G. Sumbul and B. Demіr, "Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.
This repository contains (in parts) code that has been adapted from:
```
@inproceedings{MM-FL,
author={B. {Buyuktas} and G. {Sumbul} and B. {Demіr}},
booktitle={IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
title={Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning},
year={2023}
}
```
This repository contains code (in parts) that has been adapted from:
* https://github.com/ki-ljl/FedProx-PyTorch
* https://github.com/roysubhankar/dwt-domain-adaptation
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