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2020 – today
- 2024
[c6]Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar:
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. ICML 2024- [i8]Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar:
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. CoRR abs/2406.02958 (2024) - 2023
- [i7]Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar:
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR abs/2302.09042 (2023) - 2022
- [c5]John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba:
Federated Learning with Buffered Asynchronous Aggregation. AISTATS 2022: 3581-3607 - [c4]Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek:
PAPAYA: Practical, Private, and Scalable Federated Learning. MLSys 2022 - [i6]Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu:
FedSynth: Gradient Compression via Synthetic Data in Federated Learning. CoRR abs/2204.01273 (2022) - 2021
- [i5]John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael G. Rabbat, Mani Malek, Dzmitry Huba:
Federated Learning with Buffered Asynchronous Aggregation. CoRR abs/2106.06639 (2021) - [i4]Hongyuan Zhan, Kamesh Madduri, Venkataraman Shankar:
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition. CoRR abs/2108.09859 (2021) - [i3]Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek:
Papaya: Practical, Private, and Scalable Federated Learning. CoRR abs/2111.04877 (2021)
2010 – 2019
- 2019
- [c3]Shrey Desai, Hongyuan Zhan, Ahmed Aly:
Evaluating Lottery Tickets Under Distributional Shifts. DeepLo@EMNLP-IJCNLP 2019: 153-162 - [i2]Shrey Desai, Hongyuan Zhan, Ahmed Aly:
Evaluating Lottery Tickets Under Distributional Shifts. CoRR abs/1910.12708 (2019) - 2018
- [j1]Hongyuan Zhan
, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu:
Consensus Ensemble System for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 19(12): 3903-3914 (2018) - [c2]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu:
Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC 2018: 164-169 - [i1]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu:
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction. CoRR abs/1811.00620 (2018) - 2017
- [c1]Hongyuan Zhan, Kamesh Madduri:
Analyzing Community Structure in Networks. IPDPS Workshops 2017: 1540-1549
Coauthor Index
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