IEEE

Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation

Abstract: Class-incremental fault diagnosis requires a model to adapt to new fault classes while retaining previous knowledge. However, limited research exists for imbalanced and long-tailed data.
IEEE

Robust Federated Learning Client Selection With Combinatorial Class Representations and Data Augmentation

Abstract: The federated learning (FL) client selection scheme can effectively mitigate global model performance degradation caused by the random aggregation of clients with heterogeneous data.
marktechpost

How to Design Production-Grade Mock Data Pipelines Using Polyfactory with Dataclasses, Pydantic, Attrs, and Nested Models

In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic mock data directly from Python type hints. We start by setting up ...
InfoQ

Java Explores Carrier Classes to Extend Data-Oriented Programming beyond Records

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
hcinnovationgroup

Draft of USCDI Version 7 Includes Adverse Events Data Class

The newly released draft version 7 of the United States Core Data for Interoperability (USCDI v7) has a focus on patient safety and introduces a new Adverse Events data class with two complementary ...