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2020 – today
- 2024
[c27]Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon:
The importance of feature preprocessing for differentially private linear optimization. ICLR 2024- [c26]Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami:
Asymptotics of Language Model Alignment. ISIT 2024: 2027-2032 - [i28]Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh:
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR abs/2403.10444 (2024) - [i27]Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami:
Asymptotics of Language Model Alignment. CoRR abs/2404.01730 (2024) - [i26]Ziteng Sun, Peter Kairouz, Haicheng Sun, Adrià Gascón, Ananda Theertha Suresh:
Private federated discovery of out-of-vocabulary words for Gboard. CoRR abs/2404.11607 (2024) - 2023
- [c25]Jayadev Acharya, Yuhan Liu
, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS 2023: 8561-8585 - [c24]Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun:
Sample Complexity of Distinguishing Cause from Effect. AISTATS 2023: 10487-10504 - [c23]Raef Bassily, Ziteng Sun:
User-level Private Stochastic Convex Optimization with Optimal Rates. ICML 2023: 1838-1851 - [c22]Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh:
Subset-Based Instance Optimality in Private Estimation. ICML 2023: 7992-8014 - [c21]Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh:
Federated Heavy Hitter Recovery under Linear Sketching. ICML 2023: 10997-11012 - [c20]Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh:
Concentration Bounds for Discrete Distribution Estimation in KL Divergence. ISIT 2023: 2093-2098 - [c19]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints. NeurIPS 2023 - [c18]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS 2023 - [i25]Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh:
Concentration Bounds for Discrete Distribution Estimation in KL Divergence. CoRR abs/2302.06869 (2023) - [i24]Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh:
Subset-Based Instance Optimality in Private Estimation. CoRR abs/2303.01262 (2023) - [i23]Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon:
The importance of feature preprocessing for differentially private linear optimization. CoRR abs/2307.11106 (2023) - [i22]Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh:
Federated Heavy Hitter Recovery under Linear Sketching. CoRR abs/2307.13347 (2023) - [i21]Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu:
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR abs/2310.15141 (2023) - 2022
- [j4]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference Under Information Constraints. IEEE Trans. Inf. Theory 68(1): 502-516 (2022) - [c17]Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi, Ziteng Sun:
The Role of Interactivity in Structured Estimation. COLT 2022: 1328-1355 - [c16]Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu:
Correlated Quantization for Distributed Mean Estimation and Optimization. ICML 2022: 20856-20876 - [i20]Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu:
Correlated quantization for distributed mean estimation and optimization. CoRR abs/2203.04925 (2022) - [i19]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
The Role of Interactivity in Structured Estimation. CoRR abs/2203.06870 (2022) - [i18]Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. CoRR abs/2211.03757 (2022) - 2021
- [j3]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j2]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi:
Inference Under Information Constraints III: Local Privacy Constraints. IEEE J. Sel. Areas Inf. Theory 2(1): 253-267 (2021) - [c15]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. ALT 2021: 48-78 - [c14]Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. ALT 2021: 79-98 - [c13]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. ICML 2021: 43-53 - [c12]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. ISIT 2021: 326-331 - [c11]Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh:
Learning with User-Level Privacy. NeurIPS 2021: 12466-12479 - [c10]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. NeurIPS 2021: 18920-18931 - [i17]Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi:
Inference under Information Constraints III: Local Privacy Constraints. CoRR abs/2101.07981 (2021) - [i16]Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh:
Learning with User-Level Privacy. CoRR abs/2102.11845 (2021) - [i15]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Robust Testing and Estimation under Manipulation Attacks. CoRR abs/2104.10740 (2021) - 2020
- [j1]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality 10(2) (2020) - [c9]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. COLT 2020: 3-40 - [c8]Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context Aware Local Differential Privacy. ICML 2020: 52-62 - [i14]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. CoRR abs/2004.06830 (2020) - [i13]Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi:
Interactive Inference under Information Constraints. CoRR abs/2007.10976 (2020) - [i12]Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi:
Unified lower bounds for interactive high-dimensional estimation under information constraints. CoRR abs/2010.06562 (2020) - [i11]Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. CoRR abs/2011.00083 (2020)
2010 – 2019
- 2019
- [c7]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS 2019: 1120-1129 - [c6]Jayadev Acharya, Ziteng Sun:
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. ICML 2019: 51-60 - [c5]Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun:
Estimating Entropy of Distributions in Constant Space. NeurIPS 2019: 5163-5174 - [i10]Jayadev Acharya, Ziteng Sun:
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. CoRR abs/1905.11888 (2019) - [i9]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR abs/1907.08743 (2019) - [i8]Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun:
Context-Aware Local Differential Privacy. CoRR abs/1911.00038 (2019) - [i7]Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan:
Can You Really Backdoor Federated Learning? CoRR abs/1911.07963 (2019) - [i6]Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun:
Estimating Entropy of Distributions in Constant Space. CoRR abs/1911.07976 (2019) - [i5]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i4]Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi:
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c4]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. ICML 2018: 30-39 - [c3]Jayadev Acharya, Yelun Bao, Yuheng Kang, Ziteng Sun:
Improved Bounds for Minimax Risk of Estimating Missing Mass. ISIT 2018: 326-330 - [c2]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS 2018: 6879-6891 - [i3]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR abs/1802.04705 (2018) - [i2]Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
INSPECTRE: Privately Estimating the Unseen. CoRR abs/1803.00008 (2018) - 2017
- [i1]Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR abs/1707.05128 (2017) - 2016
- [c1]Ziteng Sun, Chuang Zhang, Pingyi Fan:
Optimal Byzantine Attack and Byzantine Identification in Distributed Sensor Networks. GLOBECOM Workshops 2016: 1-6
Coauthor Index
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