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Papers matching “data locality” 64

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Federated Learning Enabled Privacy-Preserving Data Access for Predicting 30-Day Mortality in Acute Myocardial Infarction
2025 SSRN Electronic Journal preprint Computer Science Privacy-Preserving Technologies in Data Open access

Koutarou Matsumoto, Yuta Nakamura, Masahiro Kamouchi, Ewout Willem Steyerberg

0

citations
Transferability of Recommendation Systems from Entity- to Spatially-Aggregated-Level Data
2026 SSRN Electronic Journal preprint Computer Science Recommender Systems and Techniques Open access

Kaan Duran, Antonello Monti

0

citations
From Text to Tables: A Local Privacy Preserving Large Language Model for Structured Information Retrieval from Medical Documents
2023 medRxiv preprint Computer Science Machine Learning in Healthcare Open access

Isabella C. Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, +6 more

25

citations
FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Samar Samir Khalil, Noha S. Tawfik, Marco Spruit

0

citations
Camtrap DP: An open standard for the FAIR exchange and archiving of camera trap data
2023 preprint Computer Science Research Data Management Practices Open access

Jakub W. Bubnicki, Ben Norton, Steve Baskauf, Tom Bruce, Francesca Cagnacci, Jim Casaer, +30 more

8

citations
Efficient Sparsification of Simplicial Complexes via Local Densities of States
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco

0

citations
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

0

citations
Mitigating shot noise in local overlapping quantum tomography with semidefinite programming
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

David Dechant, Yash J. Patel, Jordi Tura

0

citations
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
2024 arXiv (Cornell University) preprint Computer Science Advanced Data Compression Techniques Open access

Tim Elsner, Paula Usinger, Victor Czech, Gregor Kobsik, Yan‐Lin He, Isaak Lim, +1 more

0

citations
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more

4

citations
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Long Chen, Martin Strauch, Dorit Merhof

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

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
plantR: An R package and workflow for managing species records from biological collections
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Research Data Management Practices Open access

Renato A. Ferreira de Lima, Andrea Sánchez‐Tapia, Sara Ribeiro Mortara, Hans ter Steege, Marinez Ferreira de Siqueira

10

citations
Swarm learning for decentralized artificial intelligence in cancer histopathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more

22

citations
Digital Object Interface Protocol (DOIP) enabled Digital Object repository installation to store and provide digital specimen information
2025 preprint Computer Science Research Data Management Practices Open access

Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

0

citations
Locally-Measured Rényi Divergences
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Tobias Rippchen, Sreejith Sreekumar, Mario Berta

0

citations
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more

7

citations
Towards General Deep Leakage in Federated Learning
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jiahui Geng, Yongli Mou, Li Fei-Fei, Qing Li, Oya Beyan, Stefan Decker, +1 more

23

citations
Unsupervised Discretization by Two-dimensional MDL-based Histogram
2020 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

2

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
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Distributed Event-Based Learning via ADMM
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach

0

citations
A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Elouan Colybes, Shirin Salehi, Anke Schmeink

0

citations
Adaptation using spatially distributed Gaussian Processes
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations