Jieling Yu

According to our database, Jieling Yu authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Intelligent Frameworks for Minimizing Job Completion Time in Clustered Federated Learning.

Jieling Yu, Ruiting Zhou, Bo Li, Libing Wu

IEEE Trans. Netw., 2026

Heterogeneous Federated Learning Frameworks for Balancing Job Completion Time and Model Accuracy.

Ruobei Wang, Ruiting Zhou, Jieling Yu, Bo Li, Yuqing Li

IEEE Trans. Netw., 2026

2024

Efficient Online DNN Inference with Continuous Learning in Edge Computing.

Yifan Zeng, Ruiting Zhou, Lei Jiao, Ziyi Han, Jieling Yu, Yue Ma

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

2023

An Incentive Auction for Heterogeneous Client Selection in Federated Learning.

Jinlong Pang, Jieling Yu, Ruiting Zhou, John C. S. Lui

IEEE Trans. Mob. Comput., October, 2023

A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning.

Ruiting Zhou, Jieling Yu, Ruobei Wang, Bo Li, Jiacheng Jiang, Libing Wu

Proceedings of the IEEE INFOCOM 2023, 2023

ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks.

Jieling Yu, Ruiting Zhou, Chen Chen, Bo Li, Fang Dong

Proceedings of the 52nd International Conference on Parallel Processing, 2023

A Reinforcement Learning Approach for Minimizing Job Completion Time in Clustered Federated Learning.

Ruiting Zhou, Jieling Yu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Heterogeneous Federated Learning for Balancing Job Completion Time and Model Accuracy.

Ruiting Zhou, Ruobei Wang, Jieling Yu, Bo Li, Yuqing Li

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022