Random Allocation
A sampling strategy that randomly allocates data points to different batches, commonly used in distributed differentially private training and capable of providing privacy amplification.
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This privacy analysis framework uniformly covers both Poisson sampling and random allocation sampling schemes, and supports efficient and relatively tight privacy accounting.
The paper's analysis targets Poisson sampling and random allocation, and the applicability to other sampling schemes is outside the scope of discussion.
All Facts (2)
This privacy analysis framework uniformly covers both Poisson sampling and random allocation sampling schemes, and supports efficient and relatively tight privacy accounting.
50%UnverifiedThe paper's analysis targets Poisson sampling and random allocation, and the applicability to other sampling schemes is outside the scope of discussion.
50%