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Authors: Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud (Huawei MRC), and Michael Gerndt Abstract: Federated Learning (FL) is an emerging machine learning paradigm that enables the collaborative training of a shared global model across distributed clients while keeping the data…

The paper from Bengisu Elis, Olga Pearce, David Boehme, Jason Burmark, and Martin Schulz won the best paper award. It is accessible on the ACM Digital Library. Link: https://sighpc.ipsj.or.jp/HPCAsia2024/papers.html

The paper from David Hildenbrand, Martin Schulz and Nadav Amit won a distinguished artifact award. It is freely accessible on the ACM Digital Library for one month. Link. https://asplos-conference.org/

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The poster is a work by Kun Qin and Carsten Trinitis presented at the 19th International School on the Effects of Radiation on Embedded Systems for…

Authors: Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud (Huawei MRC), and Michael Gerndt Abstract: Federated Learning (FL) is an emerging…

The paper "Systematic Analysis of DDS Implementations", a result of a TUM collaboration with Siemens, was accepted at the Middleware 2023 conference.

Authors: Xiaorang Guo, Kun Qin and Martin Schulz

Authors: Jonas Winklmann, Martin Schulz and Dimitrios Tsevas