Di Chai
Di Chai
PhD student
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Bike flow prediction with multi-graph convolutional networks
D Chai, L Wang, Q Yang
Proceedings of the 26th ACM SIGSPATIAL international conference on advances …, 2018
Secure federated matrix factorization
D Chai, L Wang, K Chen, Q Yang
IEEE Intelligent Systems 36 (5), 11-20, 2020
Fedeval: A benchmark system with a comprehensive evaluation model for federated learning
D Chai, L Wang, K Chen, Q Yang
arXiv preprint arXiv:2011.09655, 2020
Exploring the generalizability of spatio-temporal traffic prediction: meta-modeling and an analytic framework
L Wang, D Chai, X Liu, L Chen, K Chen
IEEE Transactions on Knowledge and Data Engineering, 2021
Federated singular vector decomposition
D Chai, L Wang, L Fu, J Zhang, K Chen, Q Yang
arXiv preprint arXiv:2105.08925, 2021
Practical lossless federated singular vector decomposition over billion-scale data
D Chai, L Wang, J Zhang, L Yang, S Cai, K Chen, Q Yang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Sphinx: Enabling privacy-preserving online learning over the cloud
H Tian, C Zeng, Z Ren, D Chai, J Zhang, K Chen, Q Yang
2022 IEEE Symposium on Security and Privacy (SP), 2487-2501, 2022
Efficient Federated Matrix Factorization against Inference Attacks
D Chai, L Wang, K Chen, Q Yang
ACM Transactions on Intelligent Systems and Technology (TIST), 2022
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
C Zhang, J Zhang, D Chai, K Chen
arXiv preprint arXiv:2108.06958, 2021
Secure Forward Aggregation for Vertical Federated Neural Networks
S Cai, D Chai, L Yang, J Zhang, Y Jin, L Wang, K Guo, K Chen
arXiv preprint arXiv:2207.00165, 2022
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