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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. DemÑ–r, "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. {DemÑ–r}},
+  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