2 papers
cs.IR2026
Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
Liang Guo, Ge Song, Litao Deng +9
Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the frontier toward ultra-long User Interaction History (UIH). However, the ind…
cs.CR2025
Secure and Efficient -Norm Computation for Two-Party Learning Applications
Ali Arastehfard, Weiran Liu, Joshua Lee +3
Secure norm computation is becoming increasingly important in many real-world learning applications. However, existing cryptographic systems often lack a general framework for secu…