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2311.08716
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Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories
15 November 2023
Shuhei Nitta
Taiji Suzuki
Albert Rodríguez Mulet
A. Yaguchi
Ryusuke Hirai
FedML
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Papers citing
"Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories"
3 / 3 papers shown
Title
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
189
268
0
26 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
1