Yongli Mou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Secure Multiparty Computation

Horizontally Partitioned

Privacy Preserving Classification

Top Venues

Eng. Appl. Artif. Intell.

Publications

Feifei Li, Yongli Mou, Zeyu Zhang, Quan Liu, Sabina Jeschke
A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+. Eng. Appl. Artif. Intell. 137 (2024)
Yongli Mou, Jiahang Chen, Zhenghao Zhang, Jürgen Roßmann, Stefan Decker
Self-sovereign Identity-based Access Control Management in Forestry 4.0. FiCloud (2023)
Yongli Mou, Jiahui Geng, Feng Zhou, Oya Beyan, Chunming Rong, Stefan Decker
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. PAKDD (2) (2023)
Maximilian Jugl, Sascha Welten, Yongli Mou, Yeliz Ucer Yediel, Oya Deniz Beyan, Ulrich Sax, Toralf Kirsten
Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train. CoRR (2023)
Timo Himmelsbach, Yongli Mou, Stefan Decker, Armin Heinzl
Towards Federated Machine Learning and Distributed Ledger Technology-based Data Monetization. VLDB Workshops (2023)
Yongli Mou, Fengyang Guo, Wei Lu, Yongzhao Li, Oya Beyan, Thomas Rose, Schahram Dustdar, Stefan Decker
Towards FAIR Data in Distributed Machine Learning Systems. GLOBECOM (2023)
Yongli Mou, Feifei Li, Sven Weber, Sabith Haneef, Hans Meine, Liliana Caldeira, Mehrshad Jaberansary, Sascha Welten, Yeliz Ucer Yediel, Guido Prause, Stefan Decker, Oya Beyan, Toralf Kirsten
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. CoRDI (2023)
Jiahui Geng, Ali Akbar Rehman, Yongli Mou, Stefan Decker, Chunming Rong
Blockchain-based Cross-organizational Workflow Platform. CloudCom (2022)
Jiahui Geng, Yongli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan Decker, Chunming Rong
Towards General Deep Leakage in Federated Learning. CoRR (2021)
Yongli Mou, Sascha Welten, Yeliz Ucer Yediel, Toralf Kirsten, Oya Deniz Beyan
Distributed Learning for Melanoma Classification using Personal Health Train. CoRR (2021)
Yongli Mou, Sascha Welten, Mehrshad Jaberansary, Yeliz Ucer Yediel, Toralf Kirsten, Stefan Decker, Oya Beyan
Distributed Skin Lesion Analysis Across Decentralised Data Sources. MIE (2021)
Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, Oya Beyan
Optimized Federated Learning on Class-Biased Distributed Data Sources. PKDD/ECML Workshops (1) (2021)