IEEE

Tackling Class Imbalance and Client Heterogeneity for Split Federated Learning in Wireless Networks

Abstract: As the complexity of deep neural networks escalates, traditional federated learning (FL) frameworks increasingly struggle since the training overhead of the full model is costly for resource ...
British Educational Research Association

Making case-based learning relevant for educators

A research-informed pedagogy Case-based learning (CBL) bridges the gap between theory and practice by immersing students in real-world scenarios that are grounded ...
Edutopia

A Path to Unlocking Deep Learning in Science

Hands-on, minds-on learning experiences help ensure that students gain a deep understanding of science concepts.
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
IEEE

Prompt-Based Concept Learning for Few-Shot Class-Incremental Learning

Abstract: Few-Shot Class-Incremental Learning (FSCIL) faces a huge stability-plasticity challenge due to continuously learning knowledge from new classes with a small number of training samples ...