Merge pull request #109 from Bluefog-Lib/addRef

Add ref

README.rst

@@ -160,13 +160,13 @@ Bluefog is uploaded to Zenodo. An equivalent BibTex format reference is below fo
 
      % System paper
      @article{bluefog,
-       author       = {Ying, Bicheng and Yuan, Kun and Hu, Hanbin and Chen, Yiming and Yin, Wotao },
+       author       = {Ying, Bicheng and Yuan, Kun and Hu, Hanbin and Chen, Yiming and Yin, Wotao},
        title        = {BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning},
        journal.     = {arXiv preprint arXiv:2111.04287},
        year         = {2021},
      }
 
-     % Theoratical Paper
+     % Theoratical Papers
      @article{ying2021exponential,
        title={Exponential Graph is Provably Efficient for Decentralized Deep Training},
        author={Ying, Bicheng and Yuan, Kun and Chen, Yiming and Hu, Hanbin and Pan, Pan and Yin, Wotao},
@@ -175,6 +175,24 @@ Bluefog is uploaded to Zenodo. An equivalent BibTex format reference is below fo
        year={2021}
      }
 
+     @inproceedings{yuan2021decentlam,
+        title={DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training},
+        author={Yuan, Kun and Chen, Yiming and Huang, Xinmeng and Zhang, Yingya and Pan, Pan and Xu, Yinghui and Yin, Wotao},
+        booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+        pages={3029--3039},
+        year={2021}
+     }
+
+     @article{yuan2020influence,
+        title={On the influence of bias-correction on distributed stochastic optimization},
+        author={Yuan, Kun and Alghunaim, Sulaiman A and Ying, Bicheng and Sayed, Ali H},
+        journal={IEEE Transactions on Signal Processing},
+        volume={68},
+        pages={4352--4367},
+        year={2020},
+        publisher={IEEE}
+     }
+
 Troubleshooting
 ---------
 Import bluefog.torch failed

docs/docker.rst

@@ -57,13 +57,13 @@ if you download the docker image from `Docker Hub <https://hub.docker.com/r/blue
 
 .. code-block:: bash
 
-    sudo docker run --privileged -it --gpus all --name bluefog_gpu_deploy --shm-size=64g --network=host -v /mnt/share/ssh:/root/.ssh bluefog_gpu:latest
+    sudo docker run --privileged -it --gpus all --name bluefog_gpu_deploy --shm-size=64g --network=host -v /mnt/share/ssh:/root/.ssh bluefoglib/bluefog:gpu-0.3.0
 
 2. Run docker container with only CPU support:
 
 .. code-block:: bash
 
-    sudo docker run --privileged -it --name bluefog_cpu_deploy --network=host -v /mnt/share/ssh:/root/.ssh bluefog_cpu:latest
+    sudo docker run --privileged -it --name bluefog_cpu_deploy --network=host -v /mnt/share/ssh:/root/.ssh bluefoglib/bluefog:gpu-0.3.0
 
 3. Clean up docker system after running:
 

docs/install.rst

@@ -86,13 +86,13 @@ For more details, check :ref:`Docker Usage` page.
 
 .. code-block:: bash
 
-    sudo docker pull bluefoglib/bluefog:gpu-0.2.2
+    sudo docker pull bluefoglib/bluefog:gpu-0.3.0
 
 2. Download docker image with only CPU support:
 
 .. code-block:: bash
 
-    sudo docker pull bluefoglib/bluefog:cpu-0.2.2
+    sudo docker pull bluefoglib/bluefog:cpu-0.3.0
 
 .. _conda: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
 .. _download link: https://www.open-mpi.org/software/ompi/v4.0/