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Iason Ofeidis

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#machine learning Preprint Sep 2026

Contribution-Aware Bandwidth Allocation for Multimodal Split Learning

The allocator, ModalShare, sets each modality's keep-ratio from a Shapley contribution score that the server computes over coalitions of activations it has already received, and shows that existing compressors underperform in multimodal settings, with ModalShare recovering what gains are left behind.

Iason Ofeidis, Leandros Tassiulas · 0 citations