Aktuelles

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… [weiterlesen]

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/ [weiterlesen]

This work is conducted in a collaboration between CAPS, MPCDF, and Nvidia. It aims at accelerating multi-dimensional time series mining codes using… [weiterlesen]

In this work, we developed a python-based tool called TppFaaS on top of OpenWhisk serverless platform which uses neural Temporal Point Processes… [weiterlesen]

In this paper, the authors Christoph Reile, Mohak Chadha, Valentin Hauner, Anshul Jindal, Benjamin Hofmann, and Michael Gerndt present Bunk8s a tool… [weiterlesen]

In this paper, the authors Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, and Michael Gerndt present FedLess a framework for serverless… [weiterlesen]

In this paper, the authors Michael Kiener, Mohak Chadha, and Michael Gerndt analyse the effect of parallelising serverless workloads wrt performance… [weiterlesen]