Challenges and Solutions of Ubiquitous User Modeling

By T. Kuflik, Judy Kay, Bob Kummerfeld. 2012

42 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ameet Talwalkar
2. Virginia Smith
3. Tian Li
4. Maziar Sanjabi
5. Anit Kumar Sahu

In Information Systems

1. Virginia Smith
2. Ameet Talwalkar
3. Peter Richtárik
4. Zachary B. Charles
5. Jakub Konecný
6. Dusist Niyato
7. Filip Hanzely
8. Ahmed Khaled

In Transportation

1. Virginia Smith
2. Tian Li
3. Ameet Talwalkar
4. Maziar Sanjabi
5. Anit Kumar Sahu
6. Peter Richtárik
7. Zachary B. Charles
8. Jakub Konecný

Citations in the corpus

• Federated Multi-Task Learning (2017, background): “, this is a common approach in mobile user modeling and personalization [27, 43, 44].”
• Federated Learning: Challenges, Methods, and Future Directions (2019, background): “Recent works have also considered training machine learning models centrally but serving and storing them locally; for example, this is a common approach in mobile user modeling and personalization [23].”