2026
Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
ICML 2026poster
Instruction tuning aligns large (multimodal) language models with diverse user intents, but scaling to heterogeneous mixtures is hindered by (i) gradient interference that causes negative transfer and stiff high-curvature dynamics, and (ii) bandwidth-heavy synchronization that is often impractical o…