ESRT achieves SOTA many-to-many S2TT across 45 languages on FLEURS via edge-cloud split inference that compresses features 10x and a multi-task curriculum learning strategy for cross-lingual balance.
Splitwise: Collaborative edge–cloud inference for llms via lyapunov-assisted drl,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation
ESRT achieves SOTA many-to-many S2TT across 45 languages on FLEURS via edge-cloud split inference that compresses features 10x and a multi-task curriculum learning strategy for cross-lingual balance.