Efficient Training of Large-scale Industrial Fault Diagnostic Models
through Federated Opportunistic Block Dropout

Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout

22 February 2023

Zengxiang Li

Papers citing "Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout"

5 / 5 papers shown

Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 71 0 0 23 Nov 2024
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 203 840 0 01 Mar 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 175 355 0 07 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 159 760 0 28 Sep 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016