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Tania Jacob

2 papers hereh-index 16 citations2 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedFed-DART and FACT: A solution for Federated Learning in a production environment

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023

Dynamically Weighted Federated k-Means

Patrick Holzer, Tania Jacob, Shubham Kavane

Federated clustering, an integral aspect of federated machine learning, enables multiple data sources to collaboratively cluster their data, maintaining decentralization and preser…

cs.LG2022★ 1 cited

Fed-DART and FACT: A solution for Federated Learning in a production environment

Nico Weber, Patrick Holzer, Tania Jacob +1

Federated Learning as a decentralized artificial intelligence (AI) solution solves a variety of problems in industrial applications. It enables a continuously self-improving AI, wh…

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