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07/05/2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Traditional Federated Learning (FL) follows a server-domincated cooperat...
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02/23/2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market
The emerging availability of trained machine learning models has put for...
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08/22/2021
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
Federated Learning (FL) enables the multiple participating devices to co...
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04/16/2021
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
Federated learning (FL) is an emerging distributed machine learning para...
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04/15/2021
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
Federated Learning (FL) is a novel distributed machine learning which al...
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10/14/2020
FedGroup: Ternary Cosine Similarity-based Clustered Federated Learning Framework toward High Accuracy in Heterogeneous Data
Federated Learning (FL) enables the multiple participating devices to co...
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07/02/2019
