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SrushtiSurpur

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#federated learning Open access Sep 2026

Capability-Aware Distributed Learning and Inference for Heterogeneous 6G Edge Environments

The rapid evolution of sixth-generation (6G) wireless networks is increasing the demand for AI-enabled edge intel ligence that can operate across devices with different capabil ities, resource constraints, and availability. Existing distributed learning paradigms, including Federated Learning (FL) and Split Learning (S...

SrushtiSurpur, Panagiotis Marantis, Kostas Ramantas et al. · 0 citations
#federated learning Open access Sep 2026

Capability-Aware Distributed Learning and Inference for Heterogeneous 6G Edge Environments

The rapid evolution of sixth-generation (6G) wireless networks is increasing the demand for AI-enabled edge intel ligence that can operate across devices with different capabil ities, resource constraints, and availability. Existing distributed learning paradigms, including Federated Learning (FL) and Split Learning (S...

SrushtiSurpur, Panagiotis Marantis, Kostas Ramantas et al. · 0 citations

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