| Federated domain generalization: A survey Y Li, X Wang, R Zeng, PK Donta, I Murturi, M Huang, S Dustdar arXiv preprint arXiv:2306.01334, 2023 | 23 | 2023 |
| Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry T Zeng, B Jin, T Glade, Y Xie, Y Li, Y Zhu, K Yin Catena 236, 107732, 2024 | 8 | 2024 |
| Three-tier storage framework based on TBchain and IPFS for protecting IoT security and privacy Y Li, Y Yu, X Wang ACM Transactions on Internet Technology 23 (3), 1-28, 2023 | 7 | 2023 |
| VARF: An incentive mechanism of cross-silo federated learning in MEC Y Li, X Wang, R Zeng, M Yang, K Li, M Huang, S Dustdar IEEE Internet of Things Journal, 2023 | 5 | 2023 |
| 基于 TBchain 区块链的高可信云存储模型 李莹， 于亚新， 张宏宇， 李振国 计算机科学 47 (9), 330-338, 2020 | 2 | 2020 |
| Joint optimization of multi-dimensional resource allocation and task offloading for QoE enhancement in Cloud-Edge-End collaboration C Zeng, X Wang, R Zeng, Y Li, J Shi, M Huang Future Generation Computer Systems 155, 121-131, 2024 | | 2024 |
| Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction H Li, P Cao, X Wang, Y Li, B Yi, M Huang Advanced Engineering Informatics 60, 102517, 2024 | | 2024 |
| Intelligence Inference on IoT Devices Q Zhang, Y Li, D Zhang, I Murturi, VC Pujol, S Dustdar, S Wang Learning Techniques for the Internet of Things, 171-195, 2023 | | 2023 |
| Federated Learning for Internet of Things Y Li, Q Zhang, X Wang, R Zeng, H Li, I Murturi, S Dustdar, M Huang Learning Techniques for the Internet of Things, 33-55, 2023 | | 2023 |
Schahram DustdarProfessor of Computer Science, Member of Academia Europaea, IEEE|EAI|AAIA Fellow, TU Wien, AustriaVerified email at dsg.tuwien.ac.at
