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05/01/2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Federated Semi-supervised Learning (FedSSL) has emerged as a new paradig...
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04/18/2023
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks
In this paper, we primarily focus on understanding the data preprocessin...
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05/09/2022
Layer-wised Model Aggregation for Personalized Federated Learning
Personalized Federated Learning (pFL) not only can capture the common pr...
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11/04/2021
Parameterized Knowledge Transfer for Personalized Federated Learning
In recent years, personalized federated learning (pFL) has attracted inc...
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10/07/2020
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
Traffic simulators are important tools for tasks such as urban planning ...
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10/13/2019
