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Title
Cited by
Cited by
Year
Federated learning with buffered asynchronous aggregation
J Nguyen, K Malik, H Zhan, A Yousefpour, M Rabbat, M Malek, D Huba
International Conference on Artificial Intelligence and Statistics, 3581-3607, 2022
1702022
Papaya: Practical, private, and scalable federated learning
D Huba, J Nguyen, K Malik, R Zhu, M Rabbat, A Yousefpour, CJ Wu, ...
Proceedings of Machine Learning and Systems 4, 814-832, 2022
832022
Consensus ensemble system for traffic flow prediction
H Zhan, G Gomes, XS Li, K Madduri, A Sim, K Wu
IEEE Transactions on Intelligent Transportation Systems 19 (12), 3903-3914, 2018
492018
Personalized Federated Learning for Assistant Systems
K Malik, S Moon, LIU Honglei, A Kumar, H Zhan, A Aly
US Patent App. 16/815,990, 2021
482021
Evaluating Lottery Tickets Under Distributional Shifts
S Desai, H Zhan, A Aly
EMNLP 2019 Workshop on Deep Learning for Low-Resource NLP, 2019
442019
Fedsynth: Gradient compression via synthetic data in federated learning
S Hu, J Goetz, K Malik, H Zhan, Z Liu, Y Liu
arXiv preprint arXiv:2204.01273, 2022
222022
Efficient online hyperparameter optimization for kernel ridge regression with applications to traffic time series prediction
H Zhan, G Gomes, XS Li, K Madduri, K Wu
arXiv preprint arXiv:1811.00620, 2018
92018
Efficient online hyperparameter learning for traffic flow prediction
H Zhan, G Gomes, XS Li, K Madduri, K Wu
2018 21st International Conference on Intelligent Transportation Systems …, 2018
42018
Privately customizing prefinetuning to better match user data in federated learning
C Hou, H Zhan, A Shrivastava, S Wang, A Livshits, G Fanti, D Lazar
arXiv preprint arXiv:2302.09042, 2023
32023
Analyzing community structure in networks
H Zhan, K Madduri
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
22017
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
H Zhan, K Madduri, V Shankar
arXiv preprint arXiv:2108.09859, 2021
2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
VS Hongyuan Zhan, Kamesh Madduri
arXiv preprint arXiv:2108.09859, 2021
2021
Temporal and Structural Machine Learning from Transportation Data
H Zhan
The Pennsylvania State University, 2019
2019
GSK: Graph sparsification as a knapsack problem formulation
H Zhan, K Madduri
The Third SDM Workshop on Mining Networks and Graphs: A Big Data Analytic …, 2016
2016
Numerical Methods for Hamiltonian Systems: Theory, Numerics and Case Studies
H Zhan
Pennsylvania State University, 2014
2014
Ranking Communities in Weighted Networks
H Zhan, K Madduri
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