Update README.md

mariaboerner1987 · Jun 2, 2020 · 27dc797 · 27dc797
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@@ -69,7 +69,8 @@ A collection of research papers, codes, tutorials and blogs on ML carried out in
 * [Adaptive Federated Learning in Resource Constrained Edge Computing Systems](https://arxiv.org/abs/1804.05271), IEEE JSAC.
 * [Privacy-Preserving Deep Learning via Weight Transmission](https://arxiv.org/abs/1809.03272)
 * [Learning Private Neural Language Modeling with Attentive Aggregation](https://arxiv.org/pdf/1812.07108), IJCNN 2019. [[Code](https://github.com/shaoxiongji/fed-att)]
-* [On the Convergence of FedAvg on Non-IID Data](https://arxiv.org/abs/1907.02189) [code](https://github.com/lx10077/fedavgpy), preprint 
+* [On the Convergence of FedAvg on Non-IID Data](https://arxiv.org/abs/1907.02189), preprint. [[code](https://github.com/lx10077/fedavgpy)] 
+<img src=https://github.com/FortAwesome/Font-Awesome/blob/master/svgs/brands/github.svg width="20">
 * [Federated Learning of Out-of-Vocabulary Words](https://arxiv.org/pdf/1903.10635.pdf)
 * [Towards Federated Learning at Scale: System Design](https://arxiv.org/abs/1902.01046)
 * [Agnostic Federated Learning](https://arxiv.org/abs/1902.00146) preprint 2019