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08/15/2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...
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07/14/2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout
Federated Learning (FL) emerges as a distributed machine learning paradi...
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05/09/2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Federated noisy label learning (FNLL) is emerging as a promising tool fo...
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04/12/2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization
In the federated learning scenario, geographically distributed clients c...
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01/14/2023
Survey of Knowledge Distillation in Federated Edge Learning
The increasing demand for intelligent services and privacy protection of...
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01/01/2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
The growing interest in intelligent services and privacy protection for ...
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08/25/2022
