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Joachim Sicking

Fraunhofer IAIS

17 papers hereh-index 7318 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author9

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CV4
  • cs.CY1
  • cs.RO1
  • hep-th1
  • q-fin.MF1
affiliations
  • Fraunhofer IAIS

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedPulse shape dependence in the dynamically assisted Sauter-Schwinger effect

70 citations · 138 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.LG2018

Efficient Decentralized Deep Learning by Dynamic Model Averaging

Michael Kamp, Linara Adilova, Joachim Sicking +4

We propose an efficient protocol for decentralized training of deep neural networks from distributed data sources. The proposed protocol allows to handle different phases of model…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.