Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Metaphors are a fundamental aspect of human language and cognition, allowing us to understand complex concepts and ...

Introduction What is the difference between records and data? What differentiates records managers from data managers? Do ...

Java defies the hype cycle, thriving at 30 with unmatched enterprise trust, modern AI integration, and a vibrant, global ...

Background The link between low-density lipoprotein cholesterol (LDL-C) levels and dementia risk is poorly understood, with conflicting evidence on the role of LDL-C and the impact of statin therapy ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

Apache Iceberg version 1.7.1 Query engine Spark Please describe the bug 🐞 Hello, I'd like to get some help on compaction OOM in Spark. Calling rewrite_data_files on a relatively large partition in ...

Generally, the birth of football’s data revolution is dated back to the mid-2000s, although companies such as Opta and Prozone had been collecting data since the late 1990s.

We have observed an attenuation of fracture risk after discontinuing menopausal hormone therapy, which manifests after an initial sharp rise. Fracture risk generally increases with age, but after ...

Abstract: Accurately diagnosing compound faults in gearboxes, where multiple fault modes co-occur, poses significant challenges, particularly when labeled training data is limited. This paper presents ...

Kaizen Biosciences, Co., a biopharmaceutical company, today announced the acceptance of its abstract for presentation at IDWeek 2025, which serves as a premi ...