Di Chai

Orcid: 0000-0003-4810-0644

According to our database1, Di Chai authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Survey for Federated Learning Evaluations: Goals and Measures.
IEEE Trans. Knowl. Data Eng., October, 2024

PackVFL: Efficient HE Packing for Vertical Federated Learning.
CoRR, 2024

Efficient Decentralized Federated Singular Vector Decomposition.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework.
IEEE Trans. Knowl. Data Eng., April, 2023

UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction.
CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.
CoRR, 2023

2022
Efficient Federated Matrix Factorization Against Inference Attacks.
ACM Trans. Intell. Syst. Technol., 2022

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical and Secure Federated Recommendation with Personalized Mask.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

2021
Secure Federated Matrix Factorization.
IEEE Intell. Syst., 2021

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning.
CoRR, 2021

Federated Singular Vector Decomposition.
CoRR, 2021

2020
FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning.
CoRR, 2020

Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework.
CoRR, 2020

2018
Bike flow prediction with multi-graph convolutional networks.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018


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