Hongyuan Zhan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Kernel Ridge Regression

Learning Process

Community Structure

Top Venues

DeepLo@EMNLP-IJCNLP

Publications

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 (2024)
Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Sasha Livshits, Giulia Fanti, Daniel Lazar
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR (2023)
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
Federated Learning with Buffered Asynchronous Aggregation. AISTATS (2022)
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)
Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu
FedSynth: Gradient Compression via Synthetic Data in Federated Learning. CoRR (2022)
Hongyuan Zhan, Kamesh Madduri, Venkataraman Shankar
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition. CoRR (2021)
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek Esmaeili, Dzmitry Huba
Federated Learning with Buffered Asynchronous Aggregation. CoRR (2021)
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 (2021)
Shrey Desai, Hongyuan Zhan, Ahmed Aly
Evaluating Lottery Tickets Under Distributional Shifts. DeepLo@EMNLP-IJCNLP (2019)
Shrey Desai, Hongyuan Zhan, Ahmed Aly
Evaluating Lottery Tickets Under Distributional Shifts. CoRR (2019)
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
Efficient Online Hyperparameter Learning for Traffic Flow Prediction. ITSC (2018)
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) (2018)
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 (2018)
Hongyuan Zhan, Kamesh Madduri
Analyzing Community Structure in Networks. IPDPS Workshops (2017)