Personalized federated learning (PFL) aims to harness the collective wis...
To explain day-to-day (DTD) route-choice behaviors and traffic dynamics
...
In the area of urban transportation networks, a growing number of day-to...
Learning image representations on decentralized data can bring many bene...
In classical federated learning, the clients contribute to the overall
t...
Federated Learning enables visual models to be trained on-device, bringi...
Federated learning (FL) is a machine learning setting where many clients...
Federated Learning enables visual models to be trained in a
privacy-pres...
Human vision is able to immediately recognize novel visual categories af...
Cross-view video understanding is an important yet under-explored area i...
In this paper, we aim to develop a method for automatically detecting an...
This paper presents a restricted visual Turing test (VTT) for story-line...
In targeted online advertising, advertisers look for maximizing campaign...