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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,868 papers shown

Title
FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning Haoyu Zhao Zhize Li Peter Richtárik FedML 87 29 0 10 Aug 2021
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland MIACV 45 37 0 10 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 88 106 0 10 Aug 2021
Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey M. Zhou Y. Guan M. Hayajneh K. Niu C. Abdallah AI4CE 55 8 0 07 Aug 2021
User Scheduling for Federated Learning Through Over-the-Air Computation Xiang Ma Haijian Sun Qun Wang R. Hu FedML 71 21 0 05 Aug 2021
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator I. Donevski J. J. Nielsen P. Popovski 72 6 0 05 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 85 0 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 122 50 0 04 Aug 2021
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application Joo Hun Yoo Ha Min Son Hyejun Jeong E. Jang A. Kim H. Yu Hong Jin Jeon Tai-Myung Chung FedML OOD 44 32 0 04 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 127 76 0 01 Aug 2021
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka Thilanka Munasinghe H. Pasindu 31 3 0 30 Jul 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 212 45 0 30 Jul 2021
HAFLO: GPU-Based Acceleration for Federated Logistic Regression Xiaodian Cheng Wanhang Lu Xinyang Huang Shuihai Hu Kai Chen FedML 49 17 0 29 Jul 2021
A Payload Optimization Method for Federated Recommender Systems Farwa K. Khan Adrian Flanagan K. E. Tan Z. Alamgir Muhammad Ammad-ud-din 125 30 0 27 Jul 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning Karthik Garimella N. Jha Brandon Reagen 92 19 0 26 Jul 2021
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 81 114 0 26 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes Xin-Chun Li Le Gan De-Chuan Zhan Yunfeng Shao Bingshuai Li Shaoming Song OOD 75 9 0 26 Jul 2021
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 98 49 0 25 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 89 79 0 23 Jul 2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 72 14 0 22 Jul 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 67 44 0 22 Jul 2021
Communication and Computation Reduction for Split Learning using Asynchronous Training Xing Chen Jingtao Li C. Chakrabarti 62 30 0 20 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 58 41 0 20 Jul 2021
Relay-Assisted Cooperative Federated Learning Zehong Lin Hang Liu Y. Zhang 75 42 0 20 Jul 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression Zhize Li Peter Richtárik 82 30 0 20 Jul 2021
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data Guang Yang Ke Mu Chunhe Song Zhijia Yang Tierui Gong FedML 33 16 0 19 Jul 2021
Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach Monik R Behera Sudhir Upadhyay S. Shetty FedML 49 14 0 19 Jul 2021
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning Antonious M. Girgis Deepesh Data Suhas Diggavi FedML 74 22 0 19 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 107 87 0 16 Jul 2021
DeceFL: A Principled Decentralized Federated Learning Framework Ye Yuan Jun Liu Dou Jin Zuogong Yue Ruijuan Chen ... Xinlei Yi Tao Yang Hai-Tao Zhang Shaochun Sui Han Ding FedML 85 11 0 15 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 305 422 0 14 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 85 16 0 14 Jul 2021
Federated Learning with Downlink Device Selection M. Amiri Sanjeev R. Kulkarni H. Vincent Poor FedML 115 9 0 07 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 82 6 0 07 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 88 63 0 07 Jul 2021
Differentially private federated deep learning for multi-site medical image segmentation Alexander Ziller Dmitrii Usynin Nicolas W. Remerscheid Moritz Knolle Marcus R. Makowski R. Braren Daniel Rueckert Georgios Kaissis FedML 75 23 0 06 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 120 76 0 04 Jul 2021
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems Van-Dinh Nguyen Symeon Chatzinotas Björn E. Ottersten T. Duong FedML 126 16 0 04 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 80 91 0 02 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 114 21 0 02 Jul 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon Sumin Shin Sung Ju Hwang Eunho Yang FedML 92 172 0 01 Jul 2021
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points Lili Su Jiaming Xu Pengkun Yang FedML 101 13 0 29 Jun 2021
Robust Distributed Optimization With Randomly Corrupted Gradients Berkay Turan César A. Uribe Hoi-To Wai M. Alizadeh 63 17 0 28 Jun 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 79 4 0 27 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 54 8 0 27 Jun 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 84 96 0 25 Jun 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 112 27 0 24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang Fanhua Shang Yuanyuan Liu Hongying Liu FedML 67 14 0 23 Jun 2021
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 151 25 0 22 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 101 104 0 21 Jun 2021