Yeting Guo

According to our database, Yeting Guo authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

Towards value-sensitive and poisoning-proof model aggregation for federated learning on heterogeneous data.

Hui Zeng, Tongqing Zhou, Yeting Guo, Zhiping Cai, Fang Liu

J. Parallel Distributed Comput., 2025

2024

FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions.

Changjuan Ran, Yeting Guo, Fang Liu, Shenglan Cui, Yunfan Ye

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Image captioning for cultural artworks: a case study on ceramics.

Baoying Zheng, Fang Liu, Mohan Zhang, Tongqing Zhou, Shenglan Cui, Yunfan Ye, Yeting Guo

Multim. Syst., December, 2023

Leveraging heuristic client selection for enhanced secure federated submodel learning.

Panyu Liu, Tongqing Zhou, Zhiping Cai, Fang Liu, Yeting Guo

Inf. Process. Manag., May, 2023

Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning.

Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao

IEEE Trans. Parallel Distributed Syst., April, 2023

Seeing is believing: Towards interactive visual exploration of data privacy in federated learning.

Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao

Inf. Process. Manag., 2023

Efficient Personalized Federated Learning on Selective Model Training.

Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PARA: Performability-aware resource allocation on the edges for cloud-native services.

Yeting Guo, Fang Liu, Nong Xiao, Zhaogeng Li, Zhiping Cai, Guoming Tang, Ning Liu

Int. J. Intell. Syst., 2022

MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users.

Dongyi Zheng, Yeting Guo, Fang Liu, Nong Xiao, Lu Gao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning.

Yeting Guo, Fang Liu, Zhiping Cai, Hui Zeng, Li Chen, Tongqing Zhou, Nong Xiao

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning.

Hui Zeng, Tongqing Zhou, Yeting Guo, Zhiping Cai, Fang Liu

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare.

Yeting Guo, Fang Liu, Zhiping Cai, Li Chen, Nong Xiao

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People.

Fang Liu, Yeting Guo, Zhiping Cai, Nong Xiao, Ziming Zhao

ACM Trans. Intell. Syst. Technol., 2019

2018

Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage.

Yeting Guo, Fang Liu, Zhiping Cai, Nong Xiao, Ziming Zhao

Sensors, 2018