cpSGD: Communication-efficient and differentially-private distributed SGD

27 May 2018

Sanjiv Kumar

Papers citing "cpSGD: Communication-efficient and differentially-private distributed SGD"

38 / 238 papers shown

Title
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 565 0 25 Feb 2020
Anonymizing Data for Privacy-Preserving Federated Learning Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML 25 42 0 21 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 561 0 19 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 81 171 0 12 Feb 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 16 44 0 23 Jan 2020
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach Xin Zhang Minghong Fang Jia-Wei Liu Zhengyuan Zhu FedML 17 27 0 12 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 32 550 0 06 Jan 2020
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 19 33 0 17 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 74 6,079 0 10 Dec 2019
Gradient Perturbation is Underrated for Differentially Private Convex Optimization Da Yu Huishuai Zhang Kwei-Herng Lai Yuening Li Xia Hu 15 37 0 26 Nov 2019
vqSGD: Vector Quantized Stochastic Gradient Descent V. Gandikota Daniel Kane R. Maity A. Mazumdar MQ 14 4 0 18 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 8 30 0 06 Nov 2019
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 22 20 0 05 Nov 2019
Robust Federated Learning with Noisy Communication F. Ang Li Chen Senior Member Ieee Nan Zhao Senior Member Ieee Yunfei Chen Weidong Wang Feng Yu FedML 11 117 0 01 Nov 2019
Towards Distributed Privacy-Preserving Prediction Lingjuan Lyu Yee Wei Law K. S. Ng Shibei Xue Jun Zhao Mengmeng Yang Lei Liu FedML 13 4 0 25 Oct 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 13 282 0 22 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 29 70 0 18 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 22 343 0 14 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 10 74 0 08 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu Kuang Xu Dana Yang FedML 17 1 0 21 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 25 25 0 18 Sep 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 0 12 Sep 2019
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Prathamesh Mayekar Himanshu Tyagi MQ 19 48 0 22 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 54 4,417 0 21 Aug 2019
AdaCliP: Adaptive Clipping for Private SGD Venkatadheeraj Pichapati A. Suresh Felix X. Yu Sashank J. Reddi Sanjiv Kumar 13 123 0 20 Aug 2019
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications Moming Duan Duo Liu Xianzhang Chen Yujuan Tan Jinting Ren Lei Qiao Liang Liang FedML 16 193 0 02 Jul 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 13 309 0 11 Jun 2019
Private Deep Learning with Teacher Ensembles Lichao Sun Yingbo Zhou Ji Wang Jia Li R. Socher Philip S. Yu Caiming Xiong FedML 14 2 0 05 Jun 2019
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models Amrita Roy Chowdhury Theodoros Rekatsinas S. Jha 10 10 0 30 May 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression Hanlin Tang Xiangru Lian Chen Yu Tong Zhang Ji Liu 11 216 0 15 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 14 918 0 01 Feb 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 10 88 0 24 Jan 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 20 615 0 07 Dec 2018
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning Hsin-Pai Cheng P. Yu Haojing Hu Feng Yan Shiyu Li Hai Helen Li Yiran Chen FedML 32 23 0 27 Nov 2018
Privacy and Utility Tradeoff in Approximate Differential Privacy Quan Geng Wei Ding Ruiqi Guo Sanjiv Kumar 21 23 0 01 Oct 2018
Optimal Noise-Adding Mechanism in Additive Differential Privacy Quan Geng Wei Ding Ruiqi Guo Sanjiv Kumar 19 34 0 26 Sep 2018
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent Richeng Jin Xiaofan He H. Dai FedML 17 2 0 08 Sep 2018