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Diese Studie beschäftigt sich mit der Vorhersage, ausschließlich auf Basis von Spielerpositionsdaten, ob ein Fußballspiel in einem Moment unterbrochen ist oder nicht. Hierfür wurden vier machine-learning Modelle mit Daten von 102 Spielen der Fuß
Autor:
Woisetschläger, Herbert, Isenko, Alexander, Wang, Shiqiang, Mayer, Ruben, Jacobsen, Hans-Arno
Federated Learning (FL) has become an established technique to facilitate privacy-preserving collaborative training across a multitude of clients. However, new approaches to FL often discuss their contributions involving small deep-learning models on
Externí odkaz:
http://arxiv.org/abs/2401.04472
Autor:
Woisetschläger, Herbert, Isenko, Alexander, Wang, Shiqiang, Mayer, Ruben, Jacobsen, Hans-Arno
Large Language Models (LLM) and foundation models are popular as they offer new opportunities for individuals and businesses to improve natural language processing, interact with data, and retrieve information faster. However, training or fine-tuning
Externí odkaz:
http://arxiv.org/abs/2310.03150
Preprocessing pipelines in deep learning aim to provide sufficient data throughput to keep the training processes busy. Maximizing resource utilization is becoming more challenging as the throughput of training processes increases with hardware innov
Externí odkaz:
http://arxiv.org/abs/2202.08679
Training deep learning models in the cloud or on dedicated hardware is expensive. A more cost-efficient option are hyperscale clouds offering spot instances, a cheap but ephemeral alternative to on-demand resources. As spot instance availability can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df59c38af78cd122f357a82a53160d15
Federated Machine Learning (FL) has received considerable attention in recent years. FL benchmarks are predominantly explored in either simulated systems or data center environments, neglecting the setups of real-world systems, which are often closel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f68104b408349670a53b07c9383d5a1d
Akademický článek
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