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Found 5 papers, 0 papers with code
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment
We validate Equitable-FL on the $MNIST$, $F-MNIST$, and $CIFAR-10$ benchmark datasets, as well as the $Brain-MRI$ data and the $PlantVillage$ datasets.
FAM: fast adaptive federated meta-learning
There is a need to learn a global model that can be adapted using client's specific information to create personalized models on clients is required.
DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER
The task of recognising Handwritten Mathematical Expressions (HMER) is crucial in the fields of digital education and scholarly research.
Learning to Learn with Indispensable Connections
We aim to perform two things: (a) to find a sub-network capable of more adaptive meta-learning and (b) to learn new low-level features of unseen tasks and recombine those features with the already learned features during the meta-test phase.
Signature Verification using Geometrical Features and Artificial Neural Network Classifier
Publicly available dataset MCYT, BHSig260 (contains the image of two regional languages Bengali and Hindi) has been used in this paper to test the effectiveness of the proposed method.
