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researcher

Daniel Scheliga

4 papers hereh-index 598 citations10 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedCombining Stochastic Defenses to Resist Gradient Inversion: An Ablation Study

2 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

cs.LG2021

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

Daniel Scheliga, Patrick Mäder, Marco Seeland

Collaborative training of neural networks leverages distributed data by exchanging gradient information between different clients. Although training data entirely resides with the…

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