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A dataloader class to be used by the clients. The dataloader should allow for heterogeneity among clients via, e.g., latent Dirichlet allocation (LDA).
What Needs to Be Done
Implement a class to be used by the clients.
Implement LDA sampling to parametrize the heterogeneity
Enable scalability to many clients and large datasets where the dataloaders cannot be stored in RAM during the simulation.
How Can It Be Tested
Large number of clients supported
Datasets between clients are different
Heterogeneity is controllable via parameter
The text was updated successfully, but these errors were encountered:
johanos1
changed the title
Dataloader
Dataloader for heterogeneity
Oct 9, 2022
Feature
Desired Behavior / Functionality
A dataloader class to be used by the clients. The dataloader should allow for heterogeneity among clients via, e.g., latent Dirichlet allocation (LDA).
What Needs to Be Done
How Can It Be Tested
The text was updated successfully, but these errors were encountered: