Papers citing 'Advances and Open Problems in Federated Learning'

Title
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 407 196 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 260 181 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 378 1,226 0 16 Jun 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention Ce Ju Ruihui Zhao Jichao Sun Xiguang Wei Bo Zhao ... Dashan Gao Ben Tan Han Yu Chuning He Yuan Jin FedML OOD 157 36 0 15 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning SystemsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 346 61 0 14 Jun 2020
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 218 49 0 12 Jun 2020
An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private AveragingMachine-mediated learning (ML), 2020 C. Sabater A. Bellet J. Ramon FedML 269 30 0 12 Jun 2020
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFTInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 A. Koskela Hibiki Ito Lukas Prediger Antti Honkela 223 63 0 12 Jun 2020
A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization Zhize Li Peter Richtárik FedML 205 41 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 158 24 0 12 Jun 2020
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings Mihai Dusmanu Johannes L. Schonberger Sudipta N. Sinha Marc Pollefeys PICV 296 10 0 11 Jun 2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication PeriodAAAI Conference on Artificial Intelligence (AAAI), 2020 Shuheng Shen Yifei Cheng Jingchang Liu Linli Xu LRM 217 12 0 11 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 479 92 0 10 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 187 118 0 09 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 221 66 0 08 Jun 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning Blake E. Woodworth Kumar Kshitij Patel Nathan Srebro FedML 409 214 0 08 Jun 2020
UVeQFed: Universal Vector Quantization for Federated Learning Stefano Rini Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 253 258 0 05 Jun 2020
Local SGD With a Communication Overhead Depending Only on the Number of Workers Artin Spiridonoff Alexander Olshevsky I. Paschalidis FedML 139 20 0 03 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 261 0 0 29 May 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 220 68 0 21 May 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning Andrew Straiton Hard Kurt Partridge Cameron Nguyen Niranjan A. Subrahmanya Aishanee Shah Pai Zhu Ignacio López Moreno Rajiv Mathews OOD FedML 182 70 0 21 May 2020
Scaling-up Distributed Processing of Data Streams for Machine Learning M. Nokleby Haroon Raja W. Bajwa 197 18 0 18 May 2020
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data Deepesh Data Suhas Diggavi FedML 148 43 0 16 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 356 200 0 11 May 2020
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020 Semih Yagli Alex Dytso H. Vincent Poor FedML 132 35 0 05 May 2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning Yuanrui Dong Peng Zhao Hanqiao Yu Cong Zhao Shusen Yang 118 24 0 04 May 2020
Multi-consensus Decentralized Accelerated Gradient DescentJournal of machine learning research (JMLR), 2020 Haishan Ye Luo Luo Ziang Zhou Tong Zhang 163 55 0 02 May 2020
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 190 158 0 30 Apr 2020
Quantized Adam with Error FeedbackACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 Congliang Chen Li Shen Haozhi Huang Wei Liu ODL MQ 139 38 0 29 Apr 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 404 148 0 25 Apr 2020
SplitFed: When Federated Learning Meets Split LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 411 749 0 25 Apr 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID dataIEEE International Joint Conference on Neural Network (IJCNN), 2020 Christopher Briggs Zhong Fan Péter András FedML 203 692 0 24 Apr 2020
Enhancing Privacy via Hierarchical Federated Learning A. Wainakh Alejandro Sánchez Guinea Tim Grube M. Mühlhäuser FedML 120 54 0 23 Apr 2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints Qing Han Shusen Yang Xuebin Ren Cong Zhao Jingqi Zhang Xinyu Yang 153 10 0 22 Apr 2020
Hierarchically Fair Federated Learning Jingfeng Zhang Cheng Li A. Robles-Kelly Mohan Kankanhalli FedML 136 60 0 22 Apr 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search Chaoyang He M. Annavaram A. Avestimehr OOD FedML 202 93 0 18 Apr 2020
Secure Federated Learning in 5G Mobile NetworksGlobal Communications Conference (GLOBECOM), 2020 Martin Isaksson K. Norrman 122 24 0 14 Apr 2020
Towards Federated Learning With Byzantine-Robust Client WeightingApplied Sciences (Appl. Sci.), 2020 Amit Portnoy Yoav Tirosh Danny Hendler FedML 91 12 0 10 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 145 59 0 01 Apr 2020
Concentrated Differentially Private and Utility Preserving Federated Learning Rui Hu Yuanxiong Guo Yanmin Gong FedML 200 12 0 30 Mar 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 647 645 0 30 Mar 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local UpdatesInternational Conference on Machine Learning (ICML), 2020 Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 520 585 0 23 Mar 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions Nirupam Gupta Nitin H. Vaidya 228 18 0 21 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 408 369 0 19 Mar 2020
The Future of Digital Health with Federated Learningnpj Digital Medicine (NPJ Digit Med), 2020 Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 471 2,260 0 18 Mar 2020
Distributed and Democratized Learning: Philosophy and Research ChallengesIEEE Computational Intelligence Magazine (IEEE CIM), 2020 Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 164 14 0 18 Mar 2020
Federated Visual Classification with Real-World Data DistributionEuropean Conference on Computer Vision (ECCV), 2020 T. Hsu Qi Matthew Brown FedML 310 233 0 18 Mar 2020
Policy-Based Federated Learning Kleomenis Katevas Eugene Bagdasaryan J. Waterman Mohamad Mounir Safadieh Eleanor Birrell Hamed Haddadi D. Estrin 141 0 0 14 Mar 2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey Zhenheng Tang Shaoshuai Shi Wei Wang Yue Liu Xiaowen Chu 222 54 0 10 Mar 2020
Trends and Advancements in Deep Neural Network Communication Felix Sattler Thomas Wiegand Wojciech Samek GNN 155 9 0 06 Mar 2020