Ruben Mayer
Orcid: 0000-0001-9870-7466
According to our database1,
Ruben Mayer
authored at least 74 papers
between 2013 and 2025.
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Bibliography
2025
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training.
Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025
2024
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.
Proc. VLDB Endow., February, 2024
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey.
ACM Comput. Surv., January, 2024
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.
CoRR, 2024
CoRR, 2024
Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis.
CoRR, 2024
CoRR, 2024
Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
Benefits and Challenges of Decentralization in Data Systems: Opportunities for Data Management Research.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
Proceedings of the 25th International Middleware Conference, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024
2023
Proc. ACM Manag. Data, 2023
Dagstuhl Reports, 2023
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems.
CoRR, 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.
CoRR, 2023
Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023
Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Proceedings of the 24th International Middleware Conference Industrial Track, 2023
OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions.
Proceedings of the 24th International Middleware Conference, 2023
Proceedings of the 24th International Middleware Conference, 2023
Proceedings of the 24th International Middleware Conference Demos, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research, 2023
2022
CoRR, 2022
CoRR, 2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022
OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022
OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract.
Proceedings of the 23rd International Middleware Conference: Demos and Posters, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022
2021
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools.
ACM Comput. Surv., 2021
Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).
CoRR, 2021
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021
The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns.
Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021
2020
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020
2019
ACM Comput. Surv., 2019
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains.
Proceedings of the 20th International Middleware Conference, 2019
2018
Proceedings of the 2018 Morning Workshop on In-Network Computing, 2018
ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
CoRR, 2017
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017
SPECTRE: supporting consumption policies in window-based parallel complex event processing.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017
Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017
Proceedings of the IEEE Fog World Congress, 2017
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures.
Proceedings of the IEEE Fog World Congress, 2017
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017
The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity.
Proceedings of the 2nd International Workshop on Social Sensing, 2017
2016
GraphCEP: real-time data analytics using parallel complex event and graph processing.
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016
2015
IEEE Internet Things J., 2015
2014
Proceedings of the Middleware '14 Posters & Demos Session, 2014
Meeting predictable buffer limits in the parallel execution of event processing operators.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013