Ziteng Sun
Cited by
Cited by
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
Can you really backdoor federated learning?
Z Sun, P Kairouz, AT Suresh, HB McMahan
arXiv preprint arXiv:1911.07963, 2019
Hadamard response: Estimating distributions privately, efficiently, and with little communication
J Acharya, Z Sun, H Zhang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
arXiv preprint arXiv:1707.05128, 2017
Communication complexity in locally private distribution estimation and heavy hitters
J Acharya, Z Sun
International Conference on Machine Learning, 51-60, 2019
INSPECTRE: Privately Estimating the Unseen
J Acharya, G Kamath, Z Sun, H Zhang
Journal of Privacy and Confidentiality 10 (2), 2020
Social distancing has merely stabilized COVID-19 in the US
AB Wagner, EL Hill, SE Ryan, Z Sun, G Deng, S Bhadane, VH Martinez, ...
Stat, 2020
Interactive inference under information constraints
J Acharya, CL Canonne, Y Liu, Z Sun, H Tyagi
IEEE Transactions on Information Theory 68 (1), 502-516, 2021
Domain compression and its application to randomness-optimal distributed goodness-of-fit
J Acharya, CL Canonne, Y Han, Z Sun, H Tyagi
Conference on Learning Theory, 3-40, 2020
Differentially private assouad, fano, and le cam
J Acharya, Z Sun, H Zhang
Algorithmic Learning Theory, 48-78, 2021
Improved bounds for minimax risk of estimating missing mass
J Acharya, Y Bao, Y Kang, Z Sun
2018 IEEE International Symposium on Information Theory (ISIT), 326-330, 2018
Context Aware Local Differential Privacy
J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun
International Conference on Machine Learning, 52-62, 2020
Learning with User-Level Privacy
D Levy, Z Sun, K Amin, S Kale, A Kulesza, M Mohri, AT Suresh
arXiv preprint arXiv:2102.11845, 2021
Inference under information constraints III: Local privacy constraints
J Acharya, CL Canonne, C Freitag, Z Sun, H Tyagi
IEEE Journal on Selected Areas in Information Theory 2 (1), 253-267, 2021
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints
J Acharya, P Kairouz, Y Liu, Z Sun
Algorithmic Learning Theory, 79-98, 2021
Unified lower bounds for interactive high-dimensional estimation under information constraints
J Acharya, CL Canonne, Z Sun, H Tyagi
arXiv preprint arXiv:2010.06562, 2020
Estimating entropy of distributions in constant space
J Acharya, S Bhadane, P Indyk, Z Sun
arXiv preprint arXiv:1911.07976, 2019
Optimal Byzantine attack and Byzantine identification in distributed sensor networks
Z Sun, C Zhang, P Fan
2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016
Robust Testing and Estimation under Manipulation Attacks
J Acharya, Z Sun, H Zhang
International Conference on Machine Learning, 43-53, 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
J Acharya, C Canonne, Y Liu, Z Sun, H Tyagi
Advances in Neural Information Processing Systems 34, 2021
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