message: Add a few related papers to README
diff: @@ -35,3 +35,9 @@ The `autofl` package contains the following sub-packages:
  - `data`: Provides utilities to split existing datasets into shards in order to simulate a federated learning scenario. Other building blocks can be used to analyze, load, preprocess and augment the data partitions using `tf.data.Dataset`. Provided federated versions of popular vision datasets include:
  - CIFAR-10-F: A partitioned version of CIFAR-10
  - MNIST-F: A partitioned version of MNIST
  +
  +## Related Papers
  +
  +- [Communication-Efficient Learning of Deep Networks from Decentralized Data](https://arxiv.org/abs/1602.05629)
  +- [Analyzing Federated Learning through an Adversarial Lens](https://arxiv.org/abs/1811.12470)
  +- [Towards Federated Learning at Scale: System Design](https://arxiv.org/abs/1902.01046)
  