Следене
Ziteng Sun
Заглавие
Позовавания
Позовавания
Година
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021
34322021
Can you really backdoor federated learning?
Z Sun, P Kairouz, AT Suresh, HB McMahan
arXiv preprint arXiv:1911.07963, 2019
3362019
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
141*2019
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
Advances in Neural Information Processing Systems 31, 2018
662018
Communication complexity in locally private distribution estimation and heavy hitters
J Acharya, Z Sun
International Conference on Machine Learning, 51-60, 2019
462019
Learning with user-level privacy
D Levy, Z Sun, K Amin, S Kale, A Kulesza, M Mohri, AT Suresh
Advances in Neural Information Processing Systems 34, 12466-12479, 2021
412021
Context aware local differential privacy
J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun
International Conference on Machine Learning, 52-62, 2020
342020
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
32*2020
Differentially private assouad, fano, and le cam
J Acharya, Z Sun, H Zhang
Algorithmic Learning Theory, 48-78, 2021
302021
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
292021
Inspectre: Privately estimating the unseen
J Acharya, G Kamath, Z Sun, H Zhang
International Conference on Machine Learning, 30-39, 2018
242018
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
202020
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
202018
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
192021
Estimating sparse discrete distributions under privacy and communication constraints
J Acharya, P Kairouz, Y Liu, Z Sun
Algorithmic Learning Theory, 79-98, 2021
15*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
152020
Estimating entropy of distributions in constant space
J Acharya, S Bhadane, P Indyk, Z Sun
Advances in Neural Information Processing Systems 32, 2019
72019
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, 18920-18931, 2021
62021
Robust testing and estimation under manipulation attacks
J Acharya, Z Sun, H Zhang
International Conference on Machine Learning, 43-53, 2021
62021
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
52016
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