Federated Learning: Challenges, Methods, and Future Directions

IEEE Signal Processing Magazine (IEEE SPM), 2019

21 August 2019

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 1,673 papers shown

Title
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo Zhang H. Vincent Poor FedML 111 11 0 29 Feb 2020
Federated Over-Air Subspace Tracking from Incomplete and Corrupted DataIEEE Transactions on Signal Processing (TSP), 2020 Praneeth Narayanamurthy Namrata Vaswani Aditya Ramamoorthy 448 11 0 28 Feb 2020
On Biased Compression for Distributed LearningJournal of machine learning research (JMLR), 2020 Aleksandr Beznosikov Samuel Horváth Peter Richtárik M. Safaryan 288 211 0 27 Feb 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated OptimizationInternational Conference on Machine Learning (ICML), 2020 Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 240 145 0 26 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 177 126 0 26 Feb 2020
Device Heterogeneity in Federated Learning: A Superquantile ApproachMachine-mediated learning (ML), 2020 Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 183 29 0 25 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based FrameworkIEEE Open Journal of the Computer Society (JOCS), 2020 Qiong Wu Kaiwen He Xu Chen 239 324 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 354 630 0 25 Feb 2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Maroun Touma Jian Li M. Amini 178 74 0 25 Feb 2020
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated LearningThe Web Conference (WWW), 2020 Xue Yang Yan Feng Weijun Fang Jun Shao Xiaohu Tang Shutao Xia Rongxing Lu FedML AAML 234 49 0 23 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MECIEEE International Conference on Distributed Computing Systems (ICDCS), 2020 Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 161 194 0 22 Feb 2020
Communication-Efficient Edge AI: Algorithms and SystemsIEEE Communications Surveys and Tutorials (COMST), 2020 Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 175 389 0 22 Feb 2020
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal CompressorInformation and Inference A Journal of the IMA (JIII), 2020 M. Safaryan Egor Shulgin Peter Richtárik 235 68 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 514 639 0 19 Feb 2020
Distributed Optimization over Block-Cyclic Data Yucheng Ding Chaoyue Niu Yikai Yan Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Rongfei Jia FedML 188 16 0 18 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client AvailabilityINFORMS journal on computing (INFORMS J. Comput.), 2020 Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 239 40 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
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 281 343 0 11 Feb 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 271 424 0 10 Feb 2020
Feature-map-level Online Adversarial Knowledge DistillationInternational Conference on Machine Learning (ICML), 2020 Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 265 144 0 05 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 223 263 0 01 Feb 2020
Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification Meysam Vakili M. Ghamsari M. Rezaei 72 118 0 27 Jan 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 127 328 0 25 Jan 2020
Overcoming Noisy and Irrelevant Data in Federated Learning Tiffany Tuor Maroun Touma Bongjun Ko Wei-Han Lee K. Leung FedML 160 26 0 22 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 308 419 0 16 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning ApproachIEEE International Conference on Distributed Computing Systems (ICDCS), 2020 Pengchao Han Maroun Touma K. Leung FedML 250 212 0 14 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 407 761 0 08 Jan 2020
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes WellInternational Conference on Learning Representations (ICLR), 2020 Vipul Gupta S. Serrano D. DeCoste MoMe 216 72 0 07 Jan 2020
FedDANE: A Federated Newton-Type MethodAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019 Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 386 163 0 07 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 344 822 0 31 Dec 2019
Variance Reduced Local SGD with Lower Communication Complexity Xian-Feng Liang Shuheng Shen Jingchang Liu Zhen Pan Enhong Chen Yifei Cheng FedML 172 156 0 30 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
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 198 64 0 03 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 309 1,063 0 02 Dec 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep LearningIEEE Wireless Communications and Networking Conference (WCNC), 2019 Anis Elgabli Jihong Park Sabbir Ahmed M. Bennis FedML 145 21 0 09 Nov 2019
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent E. V. Kesteren Chang Sun Daniel L. Oberski Michel Dumontier Lianne Ippel FedML 191 3 0 08 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
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 382 167 0 02 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance AnalysisIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019 Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 481 1,950 0 01 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data Yuxuan Sun Sheng Zhou Deniz Gündüz FedML 199 100 0 01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 234 300 0 31 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine LearningIEEE Transactions on Communications (IEEE Trans. Commun.), 2019 Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 465 72 0 23 Oct 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 225 54 0 21 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 299 383 0 14 Oct 2019
Distributed Computation for Marginal Likelihood based Model ChoiceBayesian Analysis (BA), 2019 Alexander K. Buchholz Daniel Ahfock S. Richardson FedML 272 5 0 10 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 251 1,025 0 08 Oct 2019
Open Set Medical Diagnosis Viraj Prabhu A. Kannan Geoffrey Tso Namit Katariya Manish Chablani David Sontag X. Amatriain 145 9 0 07 Oct 2019
Soft-Label Dataset Distillation and Text Dataset DistillationIEEE International Joint Conference on Neural Network (IJCNN), 2019 Ilia Sucholutsky Matthias Schonlau DD 385 148 0 06 Oct 2019