FedAWAC
- Citation Author(s):
-
Benteng Zhang
- Submitted by:
- Benteng Zhang
- Last updated:
- DOI:
- 10.21227/mr1q-fn43
- Data Format:
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- Keywords:
Abstract
CIFAR-10 and CIFAR-100 datasets comprise images of 10 and 100 categories, respectively, with a fixed size of 32x32 pixels in color.
Tiny-ImageNet dataset consists of 200 categories with approximately 120,000 samples, where each class contains 500 training images, 50 validation images, and 50 test images, with each image sized at 64 x 64.
AG News dataset consists of article titles and descriptions, comprising 4 categories with 127,600 samples.
Instructions:
For more information on the data, see the paper: Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices with Non-IID Data
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