Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective
Training large-scale recommender systems on dynamic industrial platforms, such as Short-Form Video (SFV) services with billions of daily interactions, faces critical stability challenges. Rapid distribution shifts in user data and increasing model complexity frequently trigger a divergence cascade, typically initiating...
Yue-Ning Li, Ze-Yu Wang, Zhen Zhang et al.
· 0 citations