04:00
2026-06-16
arxiv.org
machine-learning
GRASP: Gradient-Aligned Sequential Parameter Transfer for Memory-Efficient Multi-Source Learning
Researchers propose GRASP, a method for multi-source transfer learning that achieves 93.5% mean accuracy across benchmarks while using constant memory, compared to 71.7% for ensemble methods. GRASP seโฆ