Wenqi Wei

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All published works

Action	Title	Year	Authors
+ PDF Chat	Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs	2024	Zefan Du Wenrui Zhang Wenqi Wei Juntao Chen Tao Han Zhiding Liang Ying Mao
+ PDF Chat	Understanding the Impact of Graph Reduction on Adversarial Robustness in Graph Neural Networks	2024	Kerui Wu Ka-Ho Chow Wenqi Wei Lei Yu
+ PDF Chat	Next-Generation Phishing: How LLM Agents Empower Cyber Attackers	2024	Khalifa Afane Wenqi Wei Ying Mao Muhammad Junaid Farooq Juntao Chen
+ PDF Chat	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum	2024	N. U. Haque Xiang Li Zhehui Chen Yanzhao Wu Lei Yu Arun Iyengar Wenqi Wei
+ PDF Chat	Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum	2024	N. U. Haque Xiang Li Zhehui Chen Yanzhao Wu Lei Yu Arun Iyengar Wenqi Wei
+ PDF Chat	Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System	2024	Shuwen Kan Zefan Du Miguel Palma Samuel A. Stein Chenxu Liu Wenqi Wei Juntao Chen Ang Li Ying Mao
+ PDF Chat	Data Poisoning and Leakage Analysis in Federated Learning	2024	Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret L. Loper Ling Liu
+ PDF Chat	Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control	2024	Ka-Ho Chow Wenqi Wei Lei Yu
+ PDF Chat	AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens	2024	Lin Lu Hai Yan Zenghui Yuan Jiawen Shi Wenqi Wei Pin‐Yu Chen Pan Zhou
+ PDF Chat	Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System	2024	Shuwen Kan Zefan Du Miguel Palma Samuel A. Stein Chenxu Liu Wenqi Wei Juntao Chen Ang Li Ying Mao
+ PDF Chat	Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance	2024	Wenqi Wei Ling Liu
+ PDF Chat	Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance	2024	Wenqi Wei Ling Liu
+ PDF Chat	Adaptive Deep Neural Network Inference Optimization with EENet	2024	Fatih İlhan Ka-Ho Chow Sihao Hu Tiansheng Huang Selim Furkan Tekin Wenqi Wei Yanzhao Wu Myungjin Lee Ramana Rao Kompella Hugo Latapie
+	Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control	2024	Ka-Ho Chow Wenqi Wei Lei Yu
+	FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models	2024	Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei
+ PDF Chat	GNN-Ensemble: Towards Random Decision Graph Neural Networks	2023	Wenqi Wei Mu Qiao Divyesh Jadav
+ PDF Chat	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness	2023	Yanzhao Wu Ka-Ho Chow Wenqi Wei Ling Liu
+	Hierarchical Pruning of Deep Ensembles with Focal Diversity	2023	Yanzhao Wu Ka-Ho Chow Wenqi Wei Ling Liu
+ PDF Chat	Invisible Watermarking for Audio Generation Diffusion Models	2023	Xirong Cao Xiang Li Divyesh Jadav Yanzhao Wu Zhehui Chen Chen Zeng Wenqi Wei
+ PDF Chat	Rethinking Learning Rate Tuning in the Era of Large Language Models	2023	Hongpeng Jin Wenqi Wei Xuyu Wang Wenbin Zhang Yanzhao Wu
+ PDF Chat	Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats	2023	Gaolei Li Yuanyuan Zhao Wenqi Wei Yuchen Liu
+ PDF Chat	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection	2023	Ka-Ho Chow Ling Liu Wenqi Wei Fatih İlhan Yanzhao Wu
+ PDF Chat	Securing Distributed SGD Against Gradient Leakage Threats	2023	Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu
+ PDF Chat	Explicit time embedding based cascade attention network for information popularity prediction	2023	Xigang Sun Jingya Zhou Ling Liu Wenqi Wei
+	Nuclear Magnetic Resonance Measurements in High Flat-top Pulsed Magnetic Field up to 40 T at WHMFC	2023	Wenqi Wei Qinying Liu Le Yuan Jian Zhang Shiyu Liu Rui Zhou Yongkang Luo Xiaotao Han
+	Adaptive Deep Neural Network Inference Optimization with EENet	2023	Fatih İlhan Ling Liu Ka-Ho Chow Wenqi Wei Yanzhao Wu Myungjin Lee Ramana Rao Kompella Hugo Latapie Gaowen Liu
+	Machine Learning for Synthetic Data Generation: A Review	2023	Yingzhou Lu Huazheng Wang Wenqi Wei
+	GNN-Ensemble: Towards Random Decision Graph Neural Networks	2023	Wenqi Wei Mu Qiao Divyesh Jadav
+	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection	2023	Ka-Ho Chow Ling Liu Wenqi Wei Fatih İlhan Yanzhao Wu
+	Securing Distributed SGD against Gradient Leakage Threats	2023	Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu
+	Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats	2023	Gaolei Li Yuanyuan Zhao Wenqi Wei Yuchen Liu
+	Rethinking Learning Rate Tuning in the Era of Large Language Models	2023	Hongpeng Jin Wenqi Wei Xuyu Wang Wenbin Zhang Yanzhao Wu
+	Invisible Watermarking for Audio Generation Diffusion Models	2023	Xirong Cao Xiang Li Divyesh Jadav Yanzhao Wu Zhehui Chen Chen Zeng Wenqi Wei
+	Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness	2023	Yanzhao Wu Ka-Ho Chow Wenqi Wei Ling Liu
+ PDF Chat	Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition	2022	Chendong Zhao Jianzong Wang Wenqi Wei Xiaoyang Qu Haoqian Wang Jing Xiao
+ PDF Chat	Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding	2022	Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan
+	Hybrid integration of deterministic quantum dots-based single-photon sources with CMOS-compatible silicon carbide photonics	2022	Yifan Zhu Wenqi Wei Ailun Yi Tingting Jin Chen Shen Xudong Wang Liping Zhou Chengli Wang Weiwen Ou Sannian Song
+	Gradient Leakage Attack Resilient Deep Learning	2021	Wenqi Wei Ling Liu
+ PDF Chat	Speech2Video: Cross-Modal Distillation for Speech to Video Generation	2021	Shijing Si Jianzong Wang Xiaoyang Qu Ning Cheng Wenqi Wei Xinghua Zhu Jing Xiao
+ PDF Chat	Speech2Video: Cross-Modal Distillation for Speech to Video Generation	2021	Shijing Si Jianzong Wang Xiaoyang Qu Ning Cheng Wenqi Wei Xinghua Zhu Jing Xiao
+ PDF Chat	Gradient-Leakage Resilient Federated Learning	2021	Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar
+	Gradient-Leakage Resilient Federated Learning	2021	Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar
+	Speech2Video: Cross-Modal Distillation for Speech to Video Generation	2021	Shijing Si Jianzong Wang Xiaoyang Qu Ning Cheng Wenqi Wei Xinghua Zhu Jing Xiao
+	Gradient Leakage Attack Resilient Deep Learning	2021	Wenqi Wei Ling Liu
+	Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding	2021	Jingya Zhou Ling Liu Wenqi Wei Jianxi Fan
+ PDF Chat	Promoting High Diversity Ensemble Learning with EnsembleBench	2020	Yanzhao Wu Ling Liu Zhongwei Xie J. Alexander Bae Ka-Ho Chow Wenqi Wei
+	Bitcoin Transaction Forecasting With Deep Network Representation Learning	2020	Wenqi Wei Qi Zhang Ling Liu
+ PDF Chat	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples	2020	Wenqi Wei Ling Liu Margaret L. Loper Ka-Ho Chow Emre Gürsoy Stacey Truex Yanzhao Wu
+	TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems	2020	Ka Ho Chow Ling Liu Mehmet Emre Gürsoy Truex Stacey Wenqi Wei Yanzhao Wu
+	A Framework for Evaluating Gradient Leakage Attacks in Federated Learning	2020	Wenqi Wei Ling Liu Margaret L. Loper Ka Ho Chow Mehmet Emre Gürsoy Stacey Truex Yanzhao Wu
+	LDP-Fed: Federated Learning with Local Differential Privacy	2020	Stacey Truex Ling Liu Ka-Ho Chow Mehmet Emre Gürsoy Wenqi Wei
+	Understanding Object Detection Through An Adversarial Lens	2020	Ka-Ho Chow Ling Liu Mehmet Emre Gürsoy Stacey Truex Wenqi Wei Yanzhao Wu
+	Bitcoin Transaction Forecasting with Deep Network Representation Learning	2020	Wenqi Wei Qi Zhang Ling Liu
+	Robust Deep Learning Ensemble against Deception	2020	Wenqi Wei Ling Liu
+ PDF Chat	Understanding Object Detection Through an Adversarial Lens	2020	Ka-Ho Chow Ling Liu Mehmet Emre Gürsoy Stacey Truex Wenqi Wei Yanzhao Wu
+	Robust Deep Learning Ensemble against Deception	2020	Wenqi Wei Ling Liu
+	Promoting High Diversity Ensemble Learning with EnsembleBench	2020	Yanzhao Wu Ling Liu Zhongwei Xie J. Alexander Bae Ka-Ho Chow Wenqi Wei
+ PDF Chat	Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks	2019	Yanzhao Wu Ling Liu J. Alexander Bae Ka-Ho Chow Arun Iyengar Calton Pu Wenqi Wei Lei Yu Qi Zhang
+ PDF Chat	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks	2019	Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu
+ PDF Chat	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability	2019	Stacey Truex Ling Liu Mehmet Emre Gürsoy Wenqi Wei Lei Yu
+ PDF Chat	Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness	2019	Ling Liu Wenqi Wei Ka-Ho Chow Margaret L. Loper Emre Gürsoy Stacey Truex Yanzhao Wu
+	A Comparative Measurement Study of Deep Learning as a Service Framework	2019	Yanzhao Wu Ling Liu Calton Pu Wenqi Cao Semih Şahin Wenqi Wei Qi Zhang
+	Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy	2019	Mehmet Emre Gürsoy Acar Tamersoy Stacey Truex Wenqi Wei Ling Liu
+	Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks	2019	Yanzhao Wu Ling Liu J. Alexander Bae Ka-Ho Chow Arun Iyengar Calton Pu Wenqi Wei Lei Yu Qi Zhang
+	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks	2019	Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu
+	Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness	2019	Ling Liu Wenqi Wei Ka-Ho Chow Margaret L. Loper Emre Gürsoy Stacey Truex Yanzhao Wu
+	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples	2019	Wenqi Wei Ling Liu Margaret L. Loper Ka-Ho Chow Emre Gürsoy Stacey Truex Yanzhao Wu
+	Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy	2019	Mehmet Emre Gürsoy Acar Tamersoy Stacey Truex Wenqi Wei Ling Liu
+	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability	2019	Stacey Truex Ling Liu Mehmet Emre Gürsoy Wenqi Wei Lei Yu
+	Adversarial Examples in Deep Learning: Characterization and Divergence	2018	Wenqi Wei Ling Liu Stacey Truex Lei Yu Mehmet Emre Gürsoy
+	Towards Demystifying Membership Inference Attacks	2018	Stacey Truex Ling Liu Mehmet Emre Gürsoy Lei Yu Wenqi Wei
+ PDF Chat	Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing	2017	Pan Zhou Wenqi Wei Kaigui Bian Dapeng Wu Yuchong Hu Qian Wang
+	Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing	2016	Pan Zhou Wenqi Wei Kaigui Bian Dapeng Wu Yuchong Hu Qian Wang

Common Coauthors

Coauthor	Papers Together
Ling Liu	42
Yanzhao Wu	32
Ka-Ho Chow	22
Stacey Truex	14
Mehmet Emre Gürsoy	11
Arun Iyengar	6
Jingya Zhou	6
Margaret L. Loper	6
Zhehui Chen	4
J. Alexander Bae	4
Emre Gürsoy	4
Xiaoyang Qu	4
Lei Yu	4
Jing Xiao	4
Jianzong Wang	4
Divyesh Jadav	4
Ning Cheng	3
Juntao Chen	3
Fatih İlhan	3
Pan Zhou	3
Zefan Du	3
Shijing Si	3
Qi Zhang	3
Ka-Ho Chow	3
Calton Pu	3
Ying Mao	3
Xiang Li	2
Gaolei Li	2
Hongpeng Jin	2
Myungjin Lee	2
Xuyu Wang	2
Acar Tamersoy	2
Xirong Cao	2
Lei Yu	2
Jianxi Fan	2
Wenbin Zhang	2
Gaowen Liu	2
Yuchong Hu	2
Tiansheng Huang	2
Gong Su	2
Ang Li	2
Kaigui Bian	2
Chenxu Liu	2
Dapeng Wu	2
Hugo Latapie	2
Ramana Rao Kompella	2
Xiang Li	2
Chen Zeng	2
Xinghua Zhu	2
Lei Yu	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples	2016	Nicolas Papernot Patrick McDaniel Ian Goodfellow	14
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	12
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	11
+	Interrater reliability: the kappa statistic.	2012	Mary L. McHugh	10
+	Adversarial Examples in Deep Learning: Characterization and Divergence	2018	Wenqi Wei Ling Liu Stacey Truex Lei Yu Mehmet Emre Gürsoy	9
+ PDF Chat	Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks	2016	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami	9
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	9
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	9
+ PDF Chat	Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks	2019	Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu	9
+ PDF Chat	Cross-Layer Strategic Ensemble Defense Against Adversarial Examples	2020	Wenqi Wei Ling Liu Margaret L. Loper Ka-Ho Chow Emre Gürsoy Stacey Truex Yanzhao Wu	9
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	8
+	Robust Deep Learning Ensemble against Deception	2020	Wenqi Wei Ling Liu	7
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	7
+	A Comparative Measurement Study of Deep Learning as a Service Framework	2019	Yanzhao Wu Ling Liu Calton Pu Wenqi Cao Semih Şahin Wenqi Wei Qi Zhang	7
+ PDF Chat	Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness	2019	Ling Liu Wenqi Wei Ka-Ho Chow Margaret L. Loper Emre Gürsoy Stacey Truex Yanzhao Wu	7
+ PDF Chat	Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning	2019	Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi	7
+ PDF Chat	Adversarial Examples in the Physical World	2018	Alexey Kurakin Ian Goodfellow Samy Bengio	7
+	Ensemble Adversarial Training: Attacks and Defenses	2017	Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel	6
+ PDF Chat	Differentially Private Model Publishing for Deep Learning	2019	Lei Yu Ling Liu Calton Pu Mehmet Emre Gürsoy Stacey Truex	6
+	Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.	2018	Milad Nasr Reza Shokri Amir Houmansadr	6
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	6
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	6
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	6
+ PDF Chat	Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks	2019	Yanzhao Wu Ling Liu J. Alexander Bae Ka-Ho Chow Arun Iyengar Calton Pu Wenqi Wei Lei Yu Qi Zhang	6
+ PDF Chat	Interrater reliability: the kappa statistic	2012	Marry L. McHugh	6
+	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks	2018	Weilin Xu David Evans Yanjun Qi	5
+	Mitigating Adversarial Effects Through Randomization	2017	Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille	5
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	5
+	Defense Against the Dark Arts: An overview of adversarial example security research and future research directions.	2018	Ian Goodfellow	5
+ PDF Chat	Machine Learning Models that Remember Too Much	2017	Congzheng Song Thomas Ristenpart Vitaly Shmatikov	5
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	4
+ PDF Chat	Adversarial Examples for Semantic Segmentation and Object Detection	2017	Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille	4
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	4
+	Gradient Leakage Attack Resilient Deep Learning	2021	Wenqi Wei Ling Liu	4
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	4
+	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models	2019	Ahmed Salem Shuicheng Yan Mathias Humbert Pascal Berrang Mario Fritz Michael Backes	4
+	Countering Adversarial Images using Input Transformations	2017	Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten	4
+ PDF Chat	Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability	2019	Stacey Truex Ling Liu Mehmet Emre Gürsoy Wenqi Wei Lei Yu	4
+	Statistical Methods for Rates and Proportions	2003	Joseph L. Fleiss Bruce Levin Myunghee Cho Paik	4
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	4
+	Scalable Private Learning with PATE	2018	Nicolas Papernot Shuang Song Ilya Mironov Ananth Raghunathan Kunal Talwar Úlfar Erlingsson	4
+	Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models	2018	Pouya Samangouei Maya Kabkab Rama Chellappa	4
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	4
+ PDF Chat	Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks	2018	Bo Luo Yannan Liu Lingxiao Wei Qiang Xu	4
+	What Can We Learn Privately?	2011	Shiva Prasad Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam Smith	4
+ PDF Chat	Accelerating Federated Learning via Momentum Gradient Descent	2020	Wei Liu Li Chen Yunfei Chen Wenyi Zhang	4
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	4
+ PDF Chat	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images	2015	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	3
+ PDF Chat	Certified Robustness to Adversarial Examples with Differential Privacy	2019	Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Suman Jana	3
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	3