AI RESEARCH

Collaborative Adaptive Curriculum for Progressive Knowledge Distillation

arXiv CS.AI

ArXi:2603.20296v1 Announce Type: cross Recent advances in collaborative knowledge distillation have nstrated cutting-edge performance for resource-constrained distributed multimedia learning scenarios. However, achieving such competitiveness requires addressing a fundamental mismatch: high-dimensional teacher knowledge complexity versus heterogeneous client learning capacities, which currently prohibits deployment in edge-based visual analytics systems. Drawing inspiration from curriculum learning principles, we