Ruben Mayer | DeepAI

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Featured Co-authors

Hans-Arno Jacobsen
30 publications
Kurt Rothermel
15 publications
Thomas Köhler
12 publications
Sukanya Bhowmik
9 publications
Zhiming Zhao
8 publications
Chunming Rong
7 publications
Frank Dürr
6 publications
Christian Mayer
5 publications
Jiahui Geng
5 publications
Yuandou Wang
4 publications
Sebastian Frischbier
4 publications

∙ 08/29/2023

An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training

Recently, graph neural networks (GNNs) have gained much attention as a g...

0 Nikolai Merkel, et al. ∙

∙ 06/08/2023

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems

Federated Machine Learning (FL) has received considerable attention in r...

0 Herbert Woisetschläger, et al. ∙

∙ 06/05/2023

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study

Training deep learning models in the cloud or on dedicated hardware is e...

0 Alexander Isenko, et al. ∙

∙ 05/23/2023

The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey

Graph Neural Networks (GNNs) are an emerging research field. This specia...

0 Jana Vatter, et al. ∙

∙ 05/05/2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness

The aim of dataset distillation is to encode the rich features of an ori...

0 Zongxiong Chen, et al. ∙

∙ 05/03/2023

A Survey on Dataset Distillation: Approaches, Applications and Future Directions

Dataset distillation is attracting more attention in machine learning as...

0 Jiahui Geng, et al. ∙

∙ 04/11/2023

Partitioner Selection with EASE to Optimize Distributed Graph Processing

For distributed graph processing on massive graphs, a graph is partition...

0 Nikolai Merkel, et al. ∙

∙ 01/11/2023

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Aside from the conception of new blockchain architectures, existing bloc...

0 Jeeta Ann Chacko, et al. ∙

∙ 10/04/2022

OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions?

Existing permissioned blockchains often rely on coordination-based conse...

0 Pezhman Nasirifard, et al. ∙

∙ 06/23/2022

The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data

The DEBS Grand Challenge (GC) is an annual programming competition open ...

0 Sebastian Frischbier, et al. ∙

∙ 03/23/2022

Out-of-Core Edge Partitioning at Linear Run-Time

Graph edge partitioning is an important preprocessing step to optimize d...

0 Ruben Mayer, et al. ∙

∙ 02/17/2022

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines

Preprocessing pipelines in deep learning aim to provide sufficient data ...

0 Alexander Isenko, et al. ∙

∙ 03/23/2021

Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints

Distributed systems that manage and process graph-structured data intern...

0 Ruben Mayer, et al. ∙

∙ 03/08/2021

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version)*

Permissioned blockchain systems promise to provide both decentralized tr...

0 Jeeta Ann Chacko, et al. ∙

∙ 01/20/2020

2PS: High-Quality Edge Partitioning with Two-Phase Streaming

Graph partitioning is an important preprocessing step to distributed gra...

0 Ruben Mayer, et al. ∙

∙ 03/27/2019

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Deep Learning (DL) has had an immense success in the recent past, leadin...

10 Ruben Mayer, et al. ∙

∙ 01/28/2019

A Comprehensive Survey on Parallelization and Elasticity in Stream Processing

Stream Processing (SP) has evolved as the leading paradigm to process an...

0 Henriette Röger, et al. ∙

∙ 10/26/2018

HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion

Many important real-world applications-such as social networks or distri...

0 Christian Mayer, et al. ∙

∙ 06/12/2018

P4CEP: Towards In-Network Complex Event Processing

In-network computing using programmable networking hardware is a strong ...

0 Thomas Köhler, et al. ∙

∙ 05/30/2018

Q-Graph: Preserving Query Locality in Multi-Query Graph Processing

Arising user-centric graph applications such as route planning and perso...

0 Christian Mayer, et al. ∙

∙ 12/22/2017

ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing

In recent years, the graph partitioning problem gained importance as a m...

0 Christian Mayer, et al. ∙

∙ 11/06/2017

The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!

State-of-the-art data flow systems such as TensorFlow impose iterative c...

0 Ruben Mayer, et al. ∙

∙ 10/13/2017

Knowledge is at the Edge! How to Search in Distributed Machine Learning Models

With the advent of the Internet of Things and Industry 4.0 an enormous a...

0 Thomas Bach, et al. ∙

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