Heiko Ludwig

Computer Science · Physical Sciences

34h-index6.7kcitations154works2.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Service-Oriented Architecture and Web Services(70), Business Process Modeling and Analysis(48), Privacy-Preserving Technologies in Data(23), Cloud Computing and Resource Management(20), Cryptography and Data Security(15)

Publications154 total

When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
arXiv (Cornell University)·2025Open Access
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
arXiv (Cornell University)·2025Open Access
Towards Collecting Royalties for Copyrighted Data for Generative Models
2024· 1 cited
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
arXiv (Cornell University)·2024· 10 citedOpen Access
Contributors
Elsevier eBooks·2024
Hyper-parameter optimization in federated learning
Elsevier eBooks·2024· 1 cited
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection
arXiv (Cornell University)·2023· 1 citedOpen Access
Towards Customer Outcome Management in Smart Manufacturing
Machines·2023· 4 citedOpen Access
Reliable orchestration of resources using WS-agreement
2022Open Access
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
arXiv (Cornell University)·2022Open Access
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
2022· 24 cited
Decentralized Allocation of Geo-distributed Edge Resources using Smart Contracts
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)·2022· 5 citedOpen Access
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis
arXiv (Cornell University)·2022· 1 citedOpen Access
Introduction to Federated Learning
2022· 8 cited
Federated Learning and Fairness
2022· 3 cited
Federated Learning for Collaborative Financial Crimes Detection
2022· 12 cited
Federated Learning
2022· 27 cited
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
arXiv (Cornell University)·2021· 13 citedOpen Access
Amnis: Optimized stream processing for edge computing
Journal of Parallel and Distributed Computing·2021· 30 citedOpen Access
FedV
2021· 72 cited
page 1 of 8Next →

Frequent Co-authors

Nathalie Baracaldo(18), Ali Anwar(14), Yi Zhou(11), Alexander Keller(7), Paul Grefen(5), Asit Dan(5), Mohamed Mohamed(5), Stacey Truex(4), Yigal Hoffner(4), Yue Cheng(4), Runhua Xu(4), Bryant Chen(4), Thomas Steinke(3), Rui Zhang(3), Karl Aberer(3), A. Dan(3), Zheng Chai(2), Robert D. Kearney(2), R.P. King(2), Wilka Carvalho(2)