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docs/source/tutorials/data_partition.rst

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DataPartitioner
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Complicated in real world, FL need to handle various kind of data distribution scenarios, including
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Sophisticated in real world, FL need to handle various kind of data distribution scenarios, including
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iid and non-iid scenarios. Though there already exists some partition schemes for published data benchmark,
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it still can be very messy and hard for researchers to partition datasets according to their specific
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research problems, and maintain partition results during simulation. FedLab provides :class:`fedlab.utils.dataset.partition.DataPartitioner` that allows you to use pre-partitioned datasets as well as your own data. :class:`DataPartitioner` stores sample indices for each client given a data partition scheme.

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