[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients

SDUST dataset for fault diagnosis pulished by Shandong University of Science and Technology

This is a platform containing the datasets and federated learning algorithms in IoT environments.

Domain adaptation method for bearing fault diagnosis using IRP

有助于理清思路的问题

A PyTorch toolbox for domain adaptation, domain generalization, federated learning DA/DG, active learning DA/DG, ALDG and semi-supervised learning DA/DG.

[EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy

[TII 2023] Federated Domain Generalization: A Secure and Robust Framework for Intelligent Fault Diagnosis

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Heterogeneous federated domain generalization network

【IEEE IoTJ 2024】Heterogeneous Federated Learning: Client-side Collaborative Update Inter-Domain Generalization Method for Intelligent Fault Diagnosis

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Simplified Implementation of FedPAC

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

Master Federated Learning in 2 Hours—Run It on Your PC!

A transfer learning fault diagnosis repository covering popular algorithms

This repository is for the transfer learning or domain adaptive with fault diagnosis.