Ziteng Sun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Distributed Sensor Networks

Kolmogorov Smirnov

Top Venues

Publications

Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami
Asymptotics of Language Model Alignment. CoRR (2024)
Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh
Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. CoRR (2024)
Ziteng Sun, Peter Kairouz, Haicheng Sun, Adrià Gascón, Ananda Theertha Suresh
Private federated discovery of out-of-vocabulary words for Gboard. CoRR (2024)
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
The importance of feature preprocessing for differentially private linear optimization. ICLR (2024)
Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh
Subset-Based Instance Optimality in Private Estimation. CoRR (2023)
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
The importance of feature preprocessing for differentially private linear optimization. CoRR (2023)
Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh
Federated Heavy Hitter Recovery under Linear Sketching. CoRR (2023)
Adrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh
Federated Heavy Hitter Recovery under Linear Sketching. ICML (2023)
Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun
Sample Complexity of Distinguishing Cause from Effect. AISTATS (2023)
Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh
Subset-Based Instance Optimality in Private Estimation. ICML (2023)
Jayadev Acharya, Yuhan Liu, Ziteng Sun
Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS (2023)
Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints. NeurIPS (2023)
Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh
Concentration Bounds for Discrete Distribution Estimation in KL Divergence. ISIT (2023)
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
SpecTr: Fast Speculative Decoding via Optimal Transport. NeurIPS (2023)
Clément L. Canonne, Ziteng Sun, Ananda Theertha Suresh
Concentration Bounds for Discrete Distribution Estimation in KL Divergence. CoRR (2023)
Raef Bassily, Ziteng Sun
User-level Private Stochastic Convex Optimization with Optimal Rates. ICML (2023)
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
SpecTr: Fast Speculative Decoding via Optimal Transport. CoRR (2023)
Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu
Correlated Quantization for Distributed Mean Estimation and Optimization. ICML (2022)
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi, Ziteng Sun
The Role of Interactivity in Structured Estimation. COLT (2022)
Jayadev Acharya, Yuhan Liu, Ziteng Sun
Discrete Distribution Estimation under User-level Local Differential Privacy. CoRR (2022)
Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
The Role of Interactivity in Structured Estimation. CoRR (2022)
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
Interactive Inference Under Information Constraints. IEEE Trans. Inf. Theory 68 (1) (2022)
Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu
Correlated quantization for distributed mean estimation and optimization. CoRR (2022)
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)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks. ICML (2021)
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
Interactive Inference under Information Constraints. ISIT (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Assouad, Fano, and Le Cam. ALT (2021)
Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi
Inference under Information Constraints III: Local Privacy Constraints. CoRR (2021)
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) (2021)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Robust Testing and Estimation under Manipulation Attacks. CoRR (2021)
Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. ALT (2021)
Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
Learning with User-Level Privacy. NeurIPS (2021)
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) (2021)
Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
Learning with User-Level Privacy. CoRR (2021)
Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun
Context Aware Local Differential Privacy. ICML (2020)
Jayadev Acharya, Clément L. Canonne, Ziteng Sun, Himanshu Tyagi
Unified lower bounds for interactive high-dimensional estimation under information constraints. CoRR (2020)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Assouad, Fano, and Le Cam. CoRR (2020)
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)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. J. Priv. Confidentiality 10 (2) (2020)
Jayadev Acharya, Yuhan Liu, Ziteng Sun
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. CoRR (2020)
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
Interactive Inference under Information Constraints. CoRR (2020)
Jayadev Acharya, Ziteng Sun
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. CoRR (2019)
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. 26 (2019)
Jayadev Acharya, Ziteng Sun
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. ICML (2019)
Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan
Can You Really Backdoor Federated Learning? CoRR (2019)
Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR (2019)
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
Estimating Entropy of Distributions in Constant Space. CoRR (2019)
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 (2019)
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
Estimating Entropy of Distributions in Constant Space. NeurIPS (2019)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS (2019)
Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun
Context-Aware Local Differential Privacy. CoRR (2019)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. CoRR (2018)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Testing of Identity and Closeness of Discrete Distributions. NeurIPS (2018)
Jayadev Acharya, Yelun Bao, Yuheng Kang, Ziteng Sun
Improved Bounds for Minimax Risk of Estimating Missing Mass. ISIT (2018)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. ICML (2018)
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
INSPECTRE: Privately Estimating the Unseen. CoRR (2018)
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Differentially Private Testing of Identity and Closeness of Discrete Distributions. CoRR (2017)
Ziteng Sun, Chuang Zhang, Pingyi Fan
Optimal Byzantine Attack and Byzantine Identification in Distributed Sensor Networks. GLOBECOM Workshops (2016)