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Dimitrios Hatzinakos

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#machine learning Preprint Oct 2026

Latent Information Sharing for Accelerating Federated Learning

Federated learning (FL) is a communication-efficient distributed learning paradigm. However, client drift remains one of the most critical challenges, hindering the efficient training of a global model. In this study, we propose a novel latent information sharing scheme that directly mitigates data heterogeneity across...

Seung-Jun Lee, Ensieh Khazaei, Dimitrios Hatzinakos et al. · 0 citations
Preprint Aug 2026

Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations

OmniDecVAEs potential as a lightweight model suitable for intelligent edge wearables and clinical healthcare, unifying processing requirements and abilities in a single model, through its enhanced representational capacity, modality-invariant spatial complexity, and real-time latency.

Ioannis Ziogas, Ensieh Khazaei, Bilal Taha et al. · 0 citations

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