research
∙
08/16/2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning
To address the communication burden issues associated with federated lea...
share
research
∙
03/15/2023
Visual Prompt Based Personalized Federated Learning
As a popular paradigm of distributed learning, personalized federated le...
research
∙
02/24/2023
Subspace based Federated Unlearning
Federated learning (FL) enables multiple clients to train a machine lear...
research
∙
06/21/2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
Federated Learning (FL) enables training a global model without sharing ...
research
∙
01/25/2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Data protection across organizations is limiting the application of cent...
research
∙
12/01/2020
