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Hi! I am wondering how we should use auto-dp when the adjacent datasets differ by more than one data point. I noticed there is a parameter called group_size when initializing the Mechanism, but I cannot find any other usage of this parameter. Is it left on purpose for future use, or am I missing something here?
For now, I am manually increasing my noise scale sqrt(n) times if the adjacent datasets differ by n points, but I would really appreciate any advice on how to achieve this goal in a smarter way. Thanks!
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