backdoor_federated_learning
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Low accuracy: Even without poisoning, the accuracy is only about 10%
Even with "is_poison"=false, the accuracy is only about 10%. When "is_poison"=true and batch_size=264, I get the results as follows: When there are adversaries, accuracy of backdoor is about 100%,accuracy without backdoor is increasing as epoch increases. But when there are not adversaries, accuracy is always about 10%
try to run it with “python training.py --params = utils/params.yaml" after changing the "is_poison" option to True in the .yaml file, the test accuracy on main task reaches 90% on my machine.
However, i am having another problem. The accuracy of backdoor task cant reach 100%, it always remain to be around 70%. Do you have any ideas how to fix this?