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05/04/2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Federated Learning (FL) aims to train machine learning models for multip...
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02/03/2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
In this work, besides improving prediction accuracy, we study whether pe...
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06/07/2022
Federated Hetero-Task Learning
To investigate the heterogeneity of federated learning in real-world sce...
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04/12/2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
The incredible development of federated learning (FL) has benefited vari...
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04/11/2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing
Although remarkable progress has been made by the existing federated lea...
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02/05/2020
A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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10/14/2018
