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DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

License: MIT License

Python 97.18% Shell 1.15% C++ 1.67%
coding-theory distributed-systems machine-learning parallel-computing

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draco's Issues

running time without GPU

Hi, I learn that you didn't use GPU in your experiments, so, how long did you take to run one experiment? As I know, using cpu only to train a neural network may take long time.

Attribute Error

q = Queue.Queue()
^^^^^^^^^^^
AttributeError: type object 'Queue' has no attribute 'Queue'

Problems on Running

Hi, I was recently running your code. When I use 6 workers, and the batch size is set 180, i.e., each workers computes 30 points, the parameters are as following. However, the loss I get is somehow very large even after 5000 iterations (more than 10000). When uncoded scheme used, however, the loss is around 3. Is there any place that I did wrong?

the parameters are as follows:
image

Attribute errors.

In Python 3, the Queue module has been renamed to lowercase queue, and the Queue class is part of this module. How we do this without causing much problems. I imported queue then in run_command(argv, quiet=False) function I changed to this q = queue.Queue(). Now am getting a lot of attribute errors.

enable-gpu

hi,

only mention of GPU "enable" flag I could see is in Readme, and nowhere in the code

I assume GPU support is not done yet?

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