2026
From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning
ICLR 2026poster
Multi-task learning often suffers from gradient conflicts, leading to unfair optimization and degraded overall performance. To address this, we present SVFair, a Shapley value-based framework for fair gradient aggregation. We propose two scalable geometric conflict metrics: VolDet, a gram determinan…