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Authors: Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt and Osama Abboud (Huawei Munich Research…

The paper by Roman Karlstetter, Robert WIdhopf-Fenk and Martin Schulz, a joint work of IfTA GmbH and CAPS, proposes an approach for retrieving sensor…

Seit vielen Jahren hält Herr Hüttl von der MTU die Vorlesung "eLearning -Techniken und Infrastrukturen" im Rahmen eines Lehrauftrages in Kooperation…

In this work, we designed a tool called SLAM to determine the optimal memory configuration for the given serverless application based on the specified…

At the Chair of Computer Architecture and Parallel Systems, Mohak Chadha, Anshul Jindal, and Michael Gerndt are working on the development of a…

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Paper titled “FedLesScan: Mitigating Stragglers in Serverless Federated Learning” got accepted at IEEE BigData’22

Paper "Querying Distributed Sensor Streams in the Edge-to-Cloud Continuum" accepted at IEEE EDGE 2022

Vorlesung "eLearning -Techniken und Infrastrukturen"

Paper titled "SLAM: SLO-Aware Memory Optimization for Serverless Applications" is accepted in IEEE CLOUD 2022.

Google Cloud Research Credits worth 5.400 Euros awarded to Mohak Chadha for his proposal on “High Performance Serverless Federated Learning”