Fed3DL

Citation Author(s):
Benteng
Zhang
Submitted by:
Benteng Zhang
Last updated:
Tue, 04/15/2025 - 09:25
DOI:
10.21227/adsp-j541
Research Article Link:
Adaptive Knowledge Transfer for Federated Learning with Large Models on Edge IoT Devices
License:
Creative Commons Attribution
2 Views
Categories:
Computer Vision
Keywords:
CIFAR-10
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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. 

Instructions: 

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. 

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