Papers accepted at VLDB and Middleware conference

Two papers on GNN and Federated Learning systems have been accepted at international top conferences: Nikolai Merkel, Pierre Toussing, Ruben Mayer, and Hans-Arno Jacobsen. “Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study.” 15 Pages. Accepted at VLDB 2025. Preprint available: https://arxiv.org/abs/2409.11129 Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, and Hans-ArnoContinue reading “Papers accepted at VLDB and Middleware conference”

Papers at IJCAI and DEEM

Two machine learning papers have been accepted: Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, and Hans-Arno Jacobsen. “A Survey on Efficient Federated Learning Methods for Foundation Model Training.” In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI ’24). Preprint: https://arxiv.org/abs/2401.04472 Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, and Hans-Arno Jacobsen.Continue reading “Papers at IJCAI and DEEM”

PC Member at ICDCS, ICFEC, IJCNN, and DEBS

This year, I serve in many program committees of academic conferences. Among others, this is the 44th IEEE International Conference on Distributed Computing Systems, the 8th IEEE International Conference on Fog and Edge Computing, the 2024 International Joint Conference on Neural Networks, and the 18th ACM International Conference on Distributed and Event-based Systems.