IEEE

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...
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 ...
Machine Design

Materials Selection in Precision Mechanical Components

Produced with all-steel rotating components, the Bevel Buddy Box from Sumimoto Drive Technologies is a compact right-angle-shaft gearmotor with a bevel and helical gear mechanism, designed for hollow ...
IEEE

Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification

Abstract: Multiple instance learning (MIL) has become a preferred method for gigapixel whole slide image (WSI) classification without requiring patch-level annotations. Current MIL research primarily ...