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federated learning anomaly detection #38

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ParyaHM opened this issue Jan 30, 2021 · 2 comments
Open

federated learning anomaly detection #38

ParyaHM opened this issue Jan 30, 2021 · 2 comments

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@ParyaHM
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ParyaHM commented Jan 30, 2021

Hi guys, I want to use federated learning for anomaly detection and attack classification. Which model do you think best matches this problem? and how can I use my own data set on this models? Also my data set does not contain client IDs originally may I just use their number as ID?

@tdye24
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tdye24 commented Mar 7, 2021

Hi guys, I want to use federated learning for anomaly detection and attack classification. Which model do you think best matches this problem? and how can I use my own data set on this models? Also my data set does not contain client IDs originally may I just use their number as ID?

Yeah, just assign an unique ID for each client.

@tdye24
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tdye24 commented Mar 7, 2021

Hi guys, I want to use federated learning for anomaly detection and attack classification. Which model do you think best matches this problem? and how can I use my own data set on this models? Also my data set does not contain client IDs originally may I just use their number as ID?

Convert your own dataset to the proper format, {'client id': {'x': [], 'y': []}}, as can be checked in the data dir.

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