Youming Tao

Orcid: 0000-0002-7312-8932

Affiliations:

Shandong University, School of Computer Science and Technology, Jinan, China
Shandong University, Taishan College, Jinan, China (former)

According to our database¹, Youming Tao authored at least 22 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Differentially Private Non-convex Distributionally Robust Optimization.

[BibT_eX]

[DOI]

CoRR, February, 2026

Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization.

[BibT_eX]

[DOI]

CoRR, February, 2026

Certified Unlearning in Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, January, 2026

Trustworthy collaborative machine learning for edge AI: privacy, unlearning, and robustness.

[BibT_eX]

[DOI]

Youming Tao

PhD thesis, 2026

Byzantine-Resilient Federated Learning Under Heterogeneity and Heavy Tails.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2026

Online Private Adaptive Ranking With Incentive-Based Crowdsensing Data.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2026

2025

Robust matroid bandit optimization: Near-optimal rates under adversarial contamination.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2025

Adaptive pruning-based Newton's method for distributed learning.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2025

Second-Order Convergence in Private Stochastic Non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Private Over-the-Air Federated Learning at Band-Limited Edge.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., December, 2024

Communication Efficient and Provable Federated Unlearning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., January, 2024

Correlation-Aware and Personalized Privacy-Preserving Data Collection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Robust Matroid Bandit Optimization Against Adversarial Contamination.

[BibT_eX]

[DOI]

Proceedings of the Computing and Combinatorics - 30th International Conference, 2024

2023

A Distributed Privacy-Preserving Learning Dynamics in General Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Byzantine-Resilient Federated Learning at Edge.

[BibT_eX]

[DOI]

IEEE Trans. Computers, September, 2023

On Private and Robust Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resource-Adaptive Newton's Method for Distributed Learning.

[BibT_eX]

[DOI]

Proceedings of the Computing and Combinatorics - 29th International Conference, 2023

2022

Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Decentralized Parallel SGD With Privacy Preservation in Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Distributed learning dynamics of Multi-Armed Bandits for edge intelligence.

[BibT_eX]

[DOI]

J. Syst. Archit., 2021

Privacy-Preserving Collaborative Learning for Multiarmed Bandits in IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Youming Tao

Timeline

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Bibliography

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