| 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 | 193 | 2022 |
| 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 | 97 | 2022 |
| 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 | 50 | 2018 |
| 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 | 49 | 2021 |
| Evaluating Lottery Tickets Under Distributional Shifts S Desai, H Zhan, A Aly EMNLP 2019 Workshop on Deep Learning for Low-Resource NLP, 2019 | 44 | 2019 |
| 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 | 23 | 2022 |
| 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 | 9 | 2018 |
| 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 | 5 | 2023 |
| 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 | 4 | 2018 |
| Analyzing community structure in networks H Zhan, K Madduri 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 2 | 2017 |
| Active Federated Learning for Assistant Systems K Malik, S Moon, LIU Honglei, A Kumar, H Zhan, A Aly US Patent App. 16/815,960, 2024 | | 2024 |
| 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 | | |
Kshitiz MalikMeta Platforms IncVerified email at meta.com
