2 papers
cs.AI2026
UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics
Yanxin Xi, Xiang Su, Jie Feng +3
Understanding urban wellbeing from multimodal data requires integrating heterogeneous spatial and temporal signals, posing significant challenges for current multimodal large langu…
cs.DC2024
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
Boyu Fan, Siyang Jiang, Xiang Su +2
As privacy concerns continue to grow, federated learning (FL) has gained significant attention as a promising privacy-preserving technology, leading to considerable advancements in…