69 citations · 426 across the 38 of their papers we have counts for
20 papers · 1 filter
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen
With the increased adaption of blockchain technologies, permissioned blockchains such as Hyperledger Fabric provide a robust ecosystem for developing production-grade decentralized…
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Nikolai Merkel, Daniel Stoll, Ruben Mayer +1
Recently, graph neural networks (GNNs) have gained much attention as a growing area of deep learning capable of learning on graph-structured data. However, the computational and me…
PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms
Gengrui Zhang, Fei Pan, Sofia Tijanic +1
This paper proposes PrestigeBFT, a novel leader-based BFT consensus algorithm that addresses the weaknesses of passive view-change protocols. Passive protocols blindly rotate leade…
Analyzing Geospatial Distribution in Blockchains
Shashank Motepalli, Hans-Arno Jacobsen
Blockchains are decentralized; are they genuinely? We analyze blockchain decentralization's often-overlooked but quantifiable dimension: geospatial distribution of transaction proc…
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
Graph Neural Networks (GNNs) are an emerging research field. This specialized Deep Neural Network (DNN) architecture is capable of processing graph structured data and bridges the…
Partitioner Selection with EASE to Optimize Distributed Graph Processing
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir +1
For distributed graph processing on massive graphs, a graph is partitioned into multiple equally-sized parts which are distributed among machines in a compute cluster. In the last…