1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2024
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
Yaowen Bi, Yuteng Lian, Jie Cui +14
Neural-based multi-task learning (MTL) has been successfully applied to many recommendation applications. However, these MTL models (e.g., MMoE, PLE) did not consider feature inter…
cs.LG2024★ 1 cited
Novel clustered federated learning based on local loss
Endong Gu, Yongxin Chen, Hao Wen +2
This paper proposes LCFL, a novel clustering metric for evaluating clients' data distributions in federated learning. LCFL aligns with federated learning requirements, accurately a…