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09/02/2023
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment
In Federated Learning, model training is performed across multiple compu...
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08/26/2023
FAM: fast adaptive meta-learning
In this work, we propose a fast adaptive federated meta-learning (FAM) f...
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04/06/2023
Learning to Learn with Indispensable Connections
Meta-learning aims to solve unseen tasks with few labelled instances. Ne...
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12/06/2022
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification
It is essential to classify brain tumors from magnetic resonance imaging...
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11/22/2022
