From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “distributed training” 131

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

0

citations
Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train
2023 arXiv (Cornell University) preprint Decision Sciences Data Quality and Management Open access

Maximilian Jugl, Sascha Welten, Yongli Mou, Yeliz Üçer Yediel, Oya Beyan, Ulrich Sax, +1 more

0

citations
RockNet: Distributed Learning on Ultra-Low-Power Devices
2025 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Alexander Gräfe, Fabian Mager, Marco Zimmerling, Sebastian Trimpe

0

citations
Effects of an app-based sensorimotor training in promoting neuroplasticity and neuropsychological functioning in frailty: a randomized controlled trial
2023 preprint Medicine Frailty in Older Adults Open access

Florian Beier, Martin Löffler, Frauke Nees, Robin Bekrater‐Bodmann, Stefano Silvoni, Simon Desch, +4 more

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, +1 more

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan

0

citations
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
2024 arXiv (Cornell University) preprint Engineering Advanced MIMO Systems Optimization Open access

Bile Peng, Bihan Guo, Karl-Ludwig Besser, Luca Kunz, Ramprasad Raghunath, Anke Schmeink, +3 more

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

0

citations
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Susanne Pielawa, Hao Wang, Vedran Dunjko

0

citations
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

0

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran

0

citations
Concurrent Split Learning Through Stable Client Clustering
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations
Swing: Short-cutting Rings for Higher Bandwidth Allreduce
2024 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler

3

citations
Speed Limits for Deep Learning
2023 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Inbar Seroussi, Alexander A. Alemi, Moritz Helias, Zohar Ringel

0

citations
FedSCS-XGB -- Federated Server-centric surrogate XGBoost for continual health monitoring
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Felix Walger, Mehdi Ejtehadi, Anke Schmeink, Diego Paez-Granados

0

citations
Building a Digital Health Twin for Personalized Intervention: The EPI Project
2020 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

40

citations
Mean-Field and Kinetic Descriptions of Neural Differential Equations
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, T. Trimborn, G. Visconti

0

citations
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more

0

citations
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams
2021 arXiv (Cornell University) preprint Engineering BIM and Construction Integration Open access

Florian Stinner, Martin Wiecek, Marc Baranski, Alexander Kümpel, Dirk Müller

5

citations