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Journal Articles
- 2023
[j8]Yeting Guo
, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao:
Seeing is believing: Towards interactive visual exploration of data privacy in federated learning. Inf. Process. Manag. 60(2): 103162 (2023)- [j7]Panyu Liu, Tongqing Zhou, Zhiping Cai, Fang Liu, Yeting Guo:
Leveraging heuristic client selection for enhanced secure federated submodel learning. Inf. Process. Manag. 60(3): 103211 (2023) - [j6]Baoying Zheng, Fang Liu, Mohan Zhang, Tongqing Zhou, Shenglan Cui, Yunfan Ye, Yeting Guo:
Image captioning for cultural artworks: a case study on ceramics. Multim. Syst. 29(6): 3223-3243 (2023) - [j5]Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao:
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(4): 1331-1342 (2023) - 2022
- [j4]Yeting Guo, Fang Liu, Nong Xiao, Zhaogeng Li, Zhiping Cai, Guoming Tang, Ning Liu:
PARA: Performability-aware resource allocation on the edges for cloud-native services. Int. J. Intell. Syst. 37(11): 8523-8547 (2022) - 2021
- [j3]Yeting Guo, Fang Liu, Zhiping Cai, Hui Zeng, Li Chen, Tongqing Zhou, Nong Xiao:
PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 13:1-13:25 (2021) - 2019
- [j2]Fang Liu, Yeting Guo, Zhiping Cai, Nong Xiao, Ziming Zhao:
Edge-enabled Disaster Rescue: A Case Study of Searching for Missing People. ACM Trans. Intell. Syst. Technol. 10(6): 63:1-63:21 (2019) - 2018
- [j1]Yeting Guo, Fang Liu, Zhiping Cai, Nong Xiao, Ziming Zhao:
Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage. Sensors 18(4): 1189 (2018)
Conference and Workshop Papers
- 2024
- [c5]Changjuan Ran, Yeting Guo, Fang Liu, Shenglan Cui, Yunfan Ye:
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. ICME 2024: 1-6 - 2023
- [c4]Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao:
Efficient Personalized Federated Learning on Selective Model Training. ICASSP 2023: 1-5 - 2022
- [c3]Dongyi Zheng, Yeting Guo, Fang Liu, Nong Xiao, Lu Gao:
MetaEM: Meta Embedding Mapping for Federated Cross-domain Recommendation to Cold-Start Users. CollaborateCom (1) 2022: 154-172 - 2021
- [c2]Hui Zeng, Tongqing Zhou, Yeting Guo, Zhiping Cai, Fang Liu:
FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning. ICPP 2021: 75:1-75:10 - 2020
- [c1]Yeting Guo, Fang Liu, Zhiping Cai, Li Chen, Nong Xiao:
FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare. ICPP 2020: 9:1-9:11
Informal and Other Publications
- 2024
- [i1]Changjuan Ran, Yeting Guo, Fang Liu, Shenglan Cui, Yunfan Ye:
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. CoRR abs/2404.16336 (2024)
Coauthor Index
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