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Papers matching “distributed learning” 140

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Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications
2023 IEEE International Symposium on Autonomous Decentralized Systems (ISADS) conference-paper Computer Science Privacy-Preserving Technologies in Data

Mahdi Barhoush, Ahmad Ayad, Anke Schmeink

8

citations
Swarm Split Learning: A Fully Distributed Machine Learning System for Energy-Constrained IoT Systems
2024 conference-paper Computer Science Privacy-Preserving Technologies in Data

Ahmad Ayad, Mahdi Barhoush, Anke Schmeink

0

citations
P2P-DML: Peer-to-Peer Distributed Machine Learning for Medical Deep Reinforcement Learning
2025 IEEE International Conference on Healthcare Informatics (ICHI) conference-paper Computer Science Reinforcement Learning in Robotics

Felix Walger, Miriam Chlumsky-Harttmann, Anke Schmeink

0

citations
Towards FAIR Data in Distributed Machine Learning Systems
2023 Globecom conference-paper Computer Science Privacy-Preserving Technologies in Data

Yongli Mou, Fengyang Guo, Wei Dong Lu, Yongzhao Li, Oya Beyan, Thomas Rose, +2 more

1

citations
A Secure Architecture for Deploying Machine Learning Models in Distributed Healthcare Settings
2025 German Medical Science (German Research Foundation) conference-paper Computer Science Privacy-Preserving Technologies in Data Open access

0

citations
Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks
2025 International Conference on Communications conference-paper Engineering Advanced Wireless Network Optimization Open access

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Lin Zhu, Yulin Hu, Marina Petrova, +1 more

0

citations
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
2023 ACM/IEEE Joint Conference on Digital Libraries conference-paper Computer Science Privacy-Preserving Technologies in Data

Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Sascha Welten, +2 more

1

citations
Optimizing Parameter Configuration for Efficient Serverless Distributed Machine Learning on AliCloud
2025 conference-paper Computer Science Cloud Computing and Resource Management Open access

Hao Chen

0

citations
Optimized Federated Learning on Class-Biased Distributed Data Sources
2021 Communications in computer and information science conference-paper Computer Science Privacy-Preserving Technologies in Data

Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, Oya Beyan

7

citations
Learning Distributed Control for Job Shops - A Comparative Simulation Study
2021 Studies in computational intelligence conference-paper Engineering Scheduling and Optimization Algorithms

Oliver Antons, Julia C. Arlinghaus

0

citations
Interplay between Distributed AI Workflow and URLLC
2022 Globecom conference-paper Computer Science IoT and Edge/Fog Computing

Milad Ganjalizadeh, Hossein Shokri‐Ghadikolaei, Johan Haraldson, Marina Petrova

3

citations
Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism
2022 IEEE International Conference on Healthcare Informatics (ICHI) conference-paper Medicine ECG Monitoring and Analysis

Ahmad Ayad, Marian Frei, Anke Schmeink

13

citations
Improving the Communication and Computation Efficiency of Split Learning for IoT Applications
2021 Globecom conference-paper Computer Science Privacy-Preserving Technologies in Data cited by 1 patent

Ahmad Ayad, Melvin Renner, Anke Schmeink

47

citations
Communication-efficient Decentralised Federated Learning via Low Huffman-coded Delta Quantization Scheme
2024 International Wireless Communications and Mobile Computing Conference (IWCMC) conference-paper Computer Science Privacy-Preserving Technologies in Data

Mahdi Barhoush, Ahmad Ayad, Mohammad Kohankhaki, Anke Schmeink

5

citations
Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks
2022 IEEE Vehicular Technology Conference conference-paper Engineering Vehicular Ad Hoc Networks (VANETs)

Yuxin Ji, Xixi Zhang, Yu Wang, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi, +1 more

1

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis
2023 Globecom conference-paper Computer Science Privacy-Preserving Technologies in Data

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

11

citations
Digitizing a Distributed Textile Production Process using Industrial Internet of Things: A Use-Case
2021 IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) conference-paper Engineering Digital Transformation in Industry

Michael Rath, Aymen Gannouni, Daniel Lütticke, Thomas Gries

14

citations
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
2024 Globecom conference-paper Engineering Advanced MIMO Systems Optimization

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

4

citations
X-on-X: Distributed Parallel Virtual Platforms for Heterogeneous Systems
2022 Euromicro Conference on Digital System Design (DSD) conference-paper Computer Science Embedded Systems Design Techniques

Lukas Jünger, Simon Winther, Rainer Leupers

0

citations
Bridging the Gap between Scheduling and Control of Distributed Energy Resources: Dynamic Parametrization of a Metaheuristic Method
2020 International Conference on Power Science and Engineering (ICPSE) conference-paper Engineering Smart Grid Energy Management

Maria Vasconcelos, Hannah Hechenrieder, Julius Zocher

0

citations
On the Impossibility of Actively Secure Distributed Samplers
2025 Lecture notes in computer science conference-paper Computer Science Cryptography and Data Security Open access

Damiano Abram, Serge Fehr, Maciej Obremski, Peter Schöll

2

citations
Data Rate Prediction for Broadband Powerline Communication Based on Machine Learning
2023 conference-paper Engineering Power Line Communications and Noise

Philipp Lutat, Anas Laribi, Ömer Sen, Marcel Kurth, Immanuel Hacker, Andreas Ulbig

1

citations
Efficient Federated Learning on Resource-Constrained Edge Devices: Integrating Data Distillation and Semi-Supervised Learning
2024 conference-paper Computer Science Privacy-Preserving Technologies in Data

Mahdi Barhoush, Ahmad Ayad, Mohammad Kohankhaki, Anke Schmeink

0

citations
DeCoL-DSS: Integrating Decentralised Collaborative Machine Learning Into Decision Support System
2025 Lecture notes in computer science conference-paper Business, Management and Accounting Decision Support System Applications

Sylwia Olbrych, Johanna Lauwigi, Hans Aoyang Zhou, Anas Abdelrazeq, Robert Heinrich Schmitt

0

citations
QUANTUM MACHINE LEARNING FOR HEP DETECTOR SIMULATIONS
2021 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Florian Rehm, Sofia Vallecorsa, K. Borras, Dirk Krücker

6

citations