message: Remove obsolete comments from README
diff: @@ -55,25 +55,8 @@ After starting a training job on AWS using `./scripts/train_remote.sh`:
  $ docker logs -f $(docker ps -q)
  ```
  -## Packages
  -
  -The `xain` package contains the following sub-packages:
  -
  -- `agent`: A reinforcement learning based agent which interacts with `flenv` using the OpenAI Gym interface. The agent samples architectures, trains them, and attempts to improve the performance of sampled architectures over time.
  -- `flenv`: Provides a reinforcement learning environment using OpenAI Gym. It receives architecture specification strings, uses them to build a `tf.keras.Model`, and then utilizes `fedml` to train the architecture in a federated fashion. A future version will also leverages a cache to hold weight matrices and speed up training (inspired by ENAS).
  -- `fedml`: Allows to train any `tf.keras.Model` in a federated fashion, i.e. by having a coordinator which manages the training across different participants who compute local updates on their individual partition of the data.
  -- `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)
  -
  -## PyTorch
  -
  -PyTorch might require the following native library on macOS:
  -
  -`brew install libomp`
  