F-CelebA (10 tasks) (Federated-CelebA (10 tasks))
Introduced by Ke et al. in Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
F-CelebA - This dataset is adapted from federated learning. Federated learning is an emerging machine learning paradigm with an emphasis on data privacy. The idea is to train through model aggregation rather than conventional data aggregation and keep local data staying on the local device. This dataset naturally consists of similar tasks and each of the 10 tasks contains images of a celebrity labeled by whether he/she is smiling or not. More detailed please check page https://github.com/ZixuanKe/CAT
Benchmarks
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F-CelebA (10 tasks)
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CAT
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Papers
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