Federated Clustering with Unknown Local and Global Cluster Cardinalities

arXiv:2609.36762 · cs.LG, cs.DC, stat.ML · Submitted 2026-09-29 · Read on arXiv

cs.LG, cs.DC, stat.ML

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Anisotropy — 42× in this paper · explained in 3 episodes
• Clustering — 19× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Federated Learning — 4× in this paper · explained in 15 episodes
• Two-Phase Framework — 4× in this paper · explained in 2 episodes
• Bayesian Information Criterion — 2× in this paper
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Generative AI — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
• Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)

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