AdaS

[jafermarq]

AdaS

• Title: Private Adaptive Optimization with Side information
• Venue: ICML 2022
• Link to paper: https://proceedings.mlr.press/v162/li22x.html

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[litian96]

Hi,

I plan to reproduce the results on the Shakespeare datasets for federated learning experiments in the paper (i.e., the left figure in Figure 6), given that this paper is not specifically for FL and this is the only FL experiment there. Will show both accuracy v.s. iterations and final accuracy.

Best, Tian

[jafermarq]

Hi @litian96, in Figure 6 I see the experiment for the StackOverflow dataset

[litian96]

Hi @jafermarq Yes StackOverflow (typo again :)).

[jafermarq]

no worries @litian96! how about also including the right side of Figure 6 (i.e the "private" exp)?

[litian96]

The normal implementation requires doing per-client norm clipping and adding noise, which is usually slow and requires some different libraries. We also need to integrate some privacy accounting code.