Yichen Ruan

According to our database, Yichen Ruan authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.

Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2022

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating.

Yichen Ruan, Carlee Joe-Wong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Network-Aware Optimization of Distributed Learning for Fog Computing.

Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

IEEE/ACM Trans. Netw., 2021

How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning.

Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong

Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

Towards Flexible Device Participation in Federated Learning.

Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Towards Flexible Device Participation in Federated Learning for Non-IID Data.

Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

CoRR, 2020

Network-Aware Optimization of Distributed Learning for Fog Computing.

Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

On the Economic Value of Mobile Caching.

Yichen Ruan, Carlee Joe-Wong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2018

On the Economic Value of Vehicular Caching.

Yichen Ruan, Carlee Joe-Wong

SIGMETRICS Perform. Evaluation Rev., 2018