Author

Milad Sefidgaran

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Preprint Oct 2026

On the Generalization Gap of Streaming Federated Learning with Markovian Data

Streaming federated learning (SFL) allows clients to train a shared model from continuously arriving data without retaining large local datasets. Such streams often exhibit temporal dependence, yet its effect on generalization remains poorly understood. In this paper we study the expected generalization gap of the aggr...

Masoud Kavian, Milad Sefidgaran, Youssef Attia El Hili et al. · 0 citations

#machine learning Preprint Sep 2026

Information-Theoretic Analysis of Next-Token Prediction under Markovian Data

An information-theoretic framework for generalization in next-token prediction under temporally dependent data is developed, revealing the roles of context length, model complexity, sample size, margin, and temporal mixing and yielding informative guarantees for deterministic algorithms over continuous hypothesis space...

Masoud Kavian, Abdellatif Zaidi, Milad Sefidgaran · 0 citations