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@@ -90,6 +90,7 @@ A collection of research papers, codes, tutorials and blogs on ML carried out in
 ### 2016
 * [Practical Secure Aggregation for Federated Learning on User-Held Data](https://arxiv.org/abs/1611.04482)
 * [Federated Learning: Strategies for Improving Communication Efficiency](https://arxiv.org/abs/1610.05492)
+* [Federated Optimization: Distributed Machine Learning for On-Device Intelligence](https://arxiv.org/abs/1610.02527)
 ### 2015
 * [Privacy-Preserving Deep Learning](https://www.comp.nus.edu.sg/~reza/files/Shokri-CCS2015.pdf), ACM SIGSAC 2015