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Mr. Tang Ming suggests that, unlike inference tasks, Federated Learning should be treated as a job that should not be modified once it is running. Modifying it essentially means restarting the job, so users should delete the existing job and create a new FederatedLearningJob after making any changes. Therefore, users should be directly prohibited from modifying the CRD.
It seems that the issue has been discussed by community members at the routine meeting. It would be highly appreciated if @SherlockShemol could share which solution is used in #446 , when you catch some time :D
It seems that the issue has been discussed by community members at the routine meeting. It would be highly appreciated if @SherlockShemol could share which solution is used in #446 , when you catch some time :D
I will improve the solution after my final exam and present a complete and fully-tested solution to the community :)
Mr. Tang Ming suggests that, unlike inference tasks, Federated Learning should be treated as a job that should not be modified once it is running. Modifying it essentially means restarting the job, so users should delete the existing job and create a new FederatedLearningJob after making any changes. Therefore, users should be directly prohibited from modifying the CRD.
Could you please provide your feedback?
@tangming1996 @hsj576 @MooreZheng
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