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dec_BRIDGE.py

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from DecLearning import DecLearning
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parser = argparse.ArgumentParser()
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parser.add_argument("monte_trial", help="Specify which monte carlo trial to run", type=int)
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parser.add_argument("-b","--byzantine", help="Number of Byzantine nodes to defend against, if none defaults to 0", type=int)
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parser.add_argument("monte_trial", help="A number between 0 and 9 to indicate which Monte Carlo trial to run", type=int)
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parser.add_argument("-b","--byzantine", help="Maximum number of Byzantine nodes to defend against; if none then it defaults to 0", type=int)
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parser.add_argument("-gb", "--goByzantine", help="Boolean to indicate if the specified number of Byzantine nodes actually send out faulty values"
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, type=bool)
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parser.add_argument("-s","--screening", help="Screening method to use (BRIDGE,Median, Krum, Bulyan), default no screening is done regular gradient descent",
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parser.add_argument("-s","--screening", help="Screening method to use (BRIDGE,Median, Krum, Bulyan), default is distributed gradient descent without screening",
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choices=['BRIDGE','Median','Krum', 'Bulyan'], type=str)
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args = parser.parse_args()

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