Zitao Li

Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Federated Matrix Factorization with Privacy Guarantee.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

MGD: A Utility Metric for Private Data Publication.

[BibT_eX]

[DOI]

Proceedings of the 8th NSysS 2021: 8th International Conference on Networking, Systems and Security, Cox's Bazar, Bangladesh, December 21, 2021

Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability.

[BibT_eX]

[DOI]

Jean Honorio

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Improving Frequency Estimation under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the WPES'20: Proceedings of the 19th Workshop on Privacy in the Electronic Society, 2020

Estimating Numerical Distributions under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Locally Differentially Private Frequency Estimation with Consistency.

[BibT_eX]

[DOI]

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019

Four accuracy bounds and one estimator for frequency estimation under local differential privacy.

[BibT_eX]

[DOI]

CoRR, 2019

Consistent and Accurate Frequency Oracles under Local Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Regularized Loss Minimizers with Local Data Obfuscation.

[BibT_eX]

[DOI]