Title
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 187 3 0 18 Feb 2020
Federated Learning with Matched AveragingInternational Conference on Learning Representations (ICLR), 2020 Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 390 1,284 0 15 Feb 2020
Federated Neural Architecture Search Jinliang Yuan Mengwei Xu Yuxin Zhao Kaigui Bian Gang Huang Xuanzhe Liu Shangguang Wang FedML 174 36 0 15 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 245 298 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated LearningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2020 Jinhyun So Başak Güler A. Avestimehr FedML 277 343 0 11 Feb 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile SensingInternational Symposium on Information Processing in Sensor Networks (IPSN), 2020 Yu Zhang Tao Gu Xi Zhang FedML 157 24 0 07 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 276 52 0 06 Feb 2020
Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases Huawei Huang Kangying Lin Song Guo Pan Zhou Zibin Zheng 94 7 0 03 Feb 2020
TiFL: A Tier-based Federated Learning SystemIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2020 Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 123 327 0 25 Jan 2020
RPN: A Residual Pooling Network for Efficient Federated LearningEuropean Conference on Artificial Intelligence (ECAI), 2020 Anbu Huang Yuanyuan Chen Yang Liu Tianjian Chen Qiang Yang FedML 183 12 0 23 Jan 2020
Stratified cross-validation for unbiased and privacy-preserving federated learning R. Bey Romain Goussault M. Benchoufi R. Porcher FedML 220 12 0 22 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2020 Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 131 315 0 22 Jan 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 255 333 0 17 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 551 666 0 06 Jan 2020
Robust Aggregation for Federated LearningIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019 Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 344 819 0 31 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus AlgorithmIEEE Transactions on Parallel and Distributed Systems (TPDS), 2019 Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 145 118 0 26 Dec 2019
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 127 87 0 13 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 531 7,389 0 10 Dec 2019
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing Anudit Nagar 124 25 0 10 Dec 2019
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 198 64 0 03 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David Clifton 139 31 0 01 Dec 2019
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 211 194 0 22 Nov 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 111 137 0 22 Nov 2019
Generative Models for Effective ML on Private, Decentralized DatasetsInternational Conference on Learning Representations (ICLR), 2019 S. Augenstein H. B. McMahan Daniel Ramage Swaroop Indra Ramaswamy Peter Kairouz Mingqing Chen Rajiv Mathews Blaise Agüera y Arcas SyDa 250 204 0 15 Nov 2019
Privacy and Utility Preserving Sensor-Data TransformationsPervasive and Mobile Computing (PMC), 2019 Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 85 36 0 14 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 143 11 0 08 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication NetworksIEEE Transactions on Wireless Communications (TWC), 2019 Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 313 748 0 06 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 180 32 0 06 Nov 2019
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 103 22 0 05 Nov 2019
Device Scheduling with Fast Convergence for Wireless Federated Learning Misha Sra C. Schmandt Z. Niu FedML 164 214 0 03 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data Yuxuan Sun Sheng Zhou Deniz Gündüz FedML 191 100 0 01 Nov 2019
Evaluating Lottery Tickets Under Distributional ShiftsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Shrey Desai Hongyuan Zhan Ahmed Aly UQCV OOD 142 42 0 28 Oct 2019
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning M. Galtier Camille Marini 84 47 0 25 Oct 2019
Preventing Adversarial Use of Datasets through Fair Core-Set Construction Benjamin Spector Ravi Kumar Andrew Tomkins 20 1 0 24 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 351 15 0 23 Oct 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 115 305 0 22 Oct 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 142 152 0 22 Oct 2019
Orthogonal Gradient Descent for Continual LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 616 436 0 15 Oct 2019
Real-World Image Datasets for Federated Learning Jiahuan Luo Xueyang Wu Yu Luo Anbu Huang Yunfeng Huang Yang Liu Qiang Yang FedML 173 105 0 14 Oct 2019
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network TrainingIEEE Access (IEEE Access), 2019 José Á. Morell Andrés Camero Enrique Alba 123 10 0 12 Oct 2019
A blockchain-orchestrated Federated Learning architecture for healthcare consortia Jonathan Passerat-Palmbach Tyler Farnan Robert C Miller M. Gross H. Flannery Bill Gleim FedML 80 57 0 12 Oct 2019
Privacy-Preserving Multi-Party Contextual Bandits Awni Y. Hannun Brian Knott Shubho Sengupta Laurens van der Maaten 189 7 0 11 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 251 1,025 0 08 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 102 11 0 04 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Felix Sattler K. Müller Wojciech Samek FedML 440 1,228 0 04 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low OverheadIEEE transactions on computers (IEEE Trans. Comput.), 2019 A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 646 376 0 03 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and QuantizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 596 862 0 28 Sep 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar Kang G. Shin FedML 156 69 0 27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 280 657 0 27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge DevicesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Yuang Jiang Maroun Touma Victor Valls Bongjun Ko Yan Koyfman Kin K. Leung Leandros Tassiulas 452 558 0 26 Sep 2019