12 citations · 19 across the 5 of their papers we have counts for
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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…