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08/16/2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning
To address the communication burden issues associated with federated lea...
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03/15/2023
Visual Prompt Based Personalized Federated Learning
As a popular paradigm of distributed learning, personalized federated le...
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02/24/2023
Subspace based Federated Unlearning
Federated learning (FL) enables multiple clients to train a machine lear...
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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 ...
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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...
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12/01/2020