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Fixed normalizing factor #2

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@nthhiep

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@nthhiep

Hi,
Congratulation for your great work. I've a question.
In the case that the local epoch is fixed for each user, vector ai and it's norm ||ai|| is unchanged across rounds?

For example, consider SGDMomentum-Nova, vector ai is as following:
[1+m+m2+m3+...m^(ti-1), ..., 1+m, 1]
where ti is the number of round's steps. When ti is fixed, ai is always equal to [1+m+m2+m3+...m^(ti-1), ..., 1+m, 1]

So, the value ||ai|| is known in advance as a certain function f(number of steps). It can be calculated once and reused for every round?

Thank you in advance for your feedback.

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