2 papers
cs.IR2024
Data Efficiency for Large Recommendation Models
Kshitij Jain, Jingru Xie, Kevin Regan +9
Large recommendation models (LRMs) are fundamental to the multi-billion dollar online advertising industry, processing massive datasets of hundreds of billions of examples before t…
cs.LG2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jin Xie, Chenqing Zhu, Songze Li
We focus on the problem of Personalized Federated Continual Learning (PFCL): a group of distributed clients, each with a sequence of local tasks on arbitrary data distributions, co…