Hongyuan Zhan

According to our database, Hongyuan Zhan authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs.

Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.

Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

CoRR, 2023

2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning.

Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu

CoRR, 2022

PAPAYA: Practical, Private, and Scalable Federated Learning.

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

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Federated Learning with Buffered Asynchronous Aggregation.

John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba

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

2021

Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition.

Hongyuan Zhan, Kamesh Madduri, Venkataraman Shankar

CoRR, 2021

2019

Evaluating Lottery Tickets Under Distributional Shifts.

Shrey Desai, Hongyuan Zhan, Ahmed Aly

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Consensus Ensemble System for Traffic Flow Prediction.

Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu

IEEE Trans. Intell. Transp. Syst., 2018

Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction.

Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu

CoRR, 2018

Efficient Online Hyperparameter Learning for Traffic Flow Prediction.

Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Analyzing Community Structure in Networks.

Hongyuan Zhan, Kamesh Madduri

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017