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README.md

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 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/).
 
 
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 This repository contains (in parts) code that has been adapted from:
 * https://github.com/InterDigitalInc/CompressAI/
 * https://github.com/WeiChengTseng/Pytorch-PCGrad
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 (10) pip install --global-option=build_ext --global-option="-I/usr/include/gdal/" GDAL==<GDAL VERSION FROM OGRINFO>
 (11) python ./hashing-and-compression/compression/cpp_exts/setup.py  build
 (12) python ./hashing-and-compression/compression/cpp_exts/setup.py  install
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 ## Datasets
 * [BigEarthNet](http://bigearth.net) 
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 |    ...
 |
 └───...
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 > **Note**: 
 > The train/val/test splits of the dataset and its subsets are placed in ./hashing-and-compression/datasets. 
 >