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federated learning anomaly detection

Open ParyaHM opened this issue 4 years ago • 2 comments

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?

ParyaHM avatar Jan 30 '21 21:01 ParyaHM

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 avatar Mar 07 '21 06:03 tdye24

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.

tdye24 avatar Mar 07 '21 06:03 tdye24