here, Malicious participants are not visible with mentioned settings. How to get output as in paper?

[AriesQa]

here, Malicious participants are not visible with mentioned settings. How to get output as in paper?

Originally posted by @AriesQa in #1 (comment)

[DarkmatterVale]

Hi, can you please post your configuration information for your experiments? I suspect this is due to some incorrect configuration.

[AriesQa]

hi, I have put path, but the result is not same as in paper.

Paths you need to put in.

MODELS_PATH = "/home/XYZ/Desktop/DataPoisoning_FL/3000_models"
EXP_INFO_PATH = "/home/XYZ/Desktop/DataPoisoning_FL/logs/3000.log"

kindly tell me how to put POISONED_WORKER_IDS = [] manually?

[AriesQa]

Hi, can you please post your configuration information for your experiments? I suspect this is due to some incorrect configuration.

Ubuntu 20.04.2.0 LTS
Python 3.8
PyTorch 1.8.1
torchvision 0.9.1
loguru 0.3.2
matplotlib 3.4.2
scikit-learn 0.24.2
numpy 1.19.5

[DarkmatterVale]

In the arguments configuration, you can specify the number of poisoned workers that you would like to simulate in your experiment. You will need to set this attribute to a number larger than zero in order to see results similar to what I demonstrate in the paper.

With regards to identifying the poisoned worker IDs, these are available in the .log file generated for each experiment, near the top. You should see a line that looks something like: Poisoned worker IDs: [...]. The list of poisoned workers is available there, and you can copy and paste that into the defense script file.

[AriesQa]

In the arguments configuration, you can specify the number of poisoned workers that you would like to simulate in your experiment. You will need to set this attribute to a number larger than zero in order to see results similar to what I demonstrate in the paper.

With regards to identifying the poisoned worker IDs, these are available in the .log file generated for each experiment, near the top. You should see a line that looks something like: Poisoned worker IDs: [...]. The list of poisoned workers is available there, and you can copy and paste that into the defense script file.

Thanks a lot for your response :)
I have run with defense.py:29: change it to CLASS_NUM = 1
I have tried it for 10 poisoned workers. Here is the result but scattered.

[mars-ch]

Hi, I wonder that have you got the correct result?

[AriesQa]

Hi,
I did not get same results as in paper.

[DarkmatterVale]

Hi all,

There are a number of reasons why you might be getting this output. In order to diagnose this further, I would need to see the complete configuration of the experiments, along with the poisoned worker ids, and non-poisoned worker IDs.

[freedom22222]

Hi, should I use my own defense model? This file doesn't have a defense model.

[mars-ch]

Hi,

I got a result that looks great.

I just modify the parameters that are mentioned in Readme, delete all result files and do some changes mentioned in the closed issue.