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Junyuan Hong

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|February 5, 2019
Short Sequence Classification Through Discriminable Linear Dynamical SystemYang Li, Junyuan Hong, Huanhuan Chen
Facct 2022 : 2022 5Th ACM Conference on Fairness, Accountability, and Transparency : June 21-24, 2022, Seoul, South Korea. ACM Conference on Fairness, Accountability, and Transparency (5Th : 2022 : Seoul, Korea; Online)|April 21, 2023
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient DescentJunyuan Hong, Zhangyang Wang, Jiayu Zhou
Proceedings of Machine Learning Research|April 28, 2022
Data-Free Knowledge Distillation for Heterogeneous Federated LearningZhuangdi Zhu, Junyuan Hong, Jiayu Zhou
Transactions on Machine Learning Research|April 14, 2023
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution ShiftsHaotao Wang, Junyuan Hong, Jiayu Zhou, et al.
... International Conference on Learning Representations|March 2, 2026
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Advances in Neural Information Processing Systems|May 8, 2023
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source SamplingJunyuan Hong, Lingjuan Lyu, Jiayu Zhou, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 17, 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated LearningJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Proceedings of Machine Learning Research|April 14, 2023
Resilient and Communication Efficient Learning for Heterogeneous Federated SystemsZhuangdi Zhu, Junyuan Hong, Steve Drew, et al.
Proceedings of Machine Learning Research|October 18, 2024
On the Generalization Ability of Unsupervised PretrainingYuyang Deng, Junyuan Hong, Jiayu Zhou, et al.
Advances in Neural Information Processing Systems|April 12, 2024
Understanding Deep Gradient Leakage via Inversion Influence FunctionsHaobo Zhang, Junyuan Hong, Yuyang Deng, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|February 5, 2019
Short Sequence Classification Through Discriminable Linear Dynamical SystemYang Li, Junyuan Hong, Huanhuan Chen
Facct 2022 : 2022 5Th ACM Conference on Fairness, Accountability, and Transparency : June 21-24, 2022, Seoul, South Korea. ACM Conference on Fairness, Accountability, and Transparency (5Th : 2022 : Seoul, Korea; Online)|April 21, 2023
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient DescentJunyuan Hong, Zhangyang Wang, Jiayu Zhou
Proceedings of Machine Learning Research|April 28, 2022
Data-Free Knowledge Distillation for Heterogeneous Federated LearningZhuangdi Zhu, Junyuan Hong, Jiayu Zhou
Transactions on Machine Learning Research|April 14, 2023
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution ShiftsHaotao Wang, Junyuan Hong, Jiayu Zhou, et al.
... International Conference on Learning Representations|March 2, 2026
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Advances in Neural Information Processing Systems|May 8, 2023
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source SamplingJunyuan Hong, Lingjuan Lyu, Jiayu Zhou, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 17, 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated LearningJunyuan Hong, Haotao Wang, Zhangyang Wang, et al.
Proceedings of Machine Learning Research|April 14, 2023
Resilient and Communication Efficient Learning for Heterogeneous Federated SystemsZhuangdi Zhu, Junyuan Hong, Steve Drew, et al.
Proceedings of Machine Learning Research|October 18, 2024
On the Generalization Ability of Unsupervised PretrainingYuyang Deng, Junyuan Hong, Jiayu Zhou, et al.
Advances in Neural Information Processing Systems|April 12, 2024
Understanding Deep Gradient Leakage via Inversion Influence FunctionsHaobo Zhang, Junyuan Hong, Yuyang Deng, et al.
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