Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

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Title
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 45 74 0 23 Jul 2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 19 14 0 22 Jul 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 32 42 0 22 Jul 2021
Communication and Computation Reduction for Split Learning using Asynchronous Training Xing Chen Jingtao Li C. Chakrabarti 16 28 0 20 Jul 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 21 36 0 20 Jul 2021
Relay-Assisted Cooperative Federated Learning Zehong Lin Hang Liu Y. Zhang 24 42 0 20 Jul 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression Zhize Li Peter Richtárik 41 29 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 24 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 24 13 0 19 Jul 2021
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning Antonious M. Girgis Deepesh Data Suhas Diggavi FedML 35 21 0 19 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 26 85 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 26 10 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 187 412 0 14 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 42 15 0 14 Jul 2021
Federated Learning with Downlink Device Selection M. Amiri Sanjeev R. Kulkarni H. Vincent Poor FedML 23 9 0 07 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 42 57 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 14 22 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 33 71 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 35 16 0 04 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 32 21 0 02 Jul 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon Sumin Shin Sung Ju Hwang Eunho Yang FedML 38 166 0 01 Jul 2021
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points Lili Su Jiaming Xu Pengkun Yang FedML 19 13 0 29 Jun 2021
Robust Distributed Optimization With Randomly Corrupted Gradients Berkay Turan César A. Uribe Hoi-To Wai M. Alizadeh 23 16 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 40 4 0 27 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning Guangmeng Zhou Ke Xu Qi Li Yang Liu Yi Zhao 24 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 32 91 0 25 Jun 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 28 26 0 24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang Fanhua Shang Yuanyuan Liu Hongying Liu FedML 29 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 47 24 0 22 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 37 94 0 21 Jun 2021
Accumulative Poisoning Attacks on Real-time Data Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 37 20 0 18 Jun 2021
Towards Heterogeneous Clients with Elastic Federated Learning Zichen Ma Yu Lu Zihan Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 19 3 0 17 Jun 2021
QuantumFed: A Federated Learning Framework for Collaborative Quantum Training Qi Xia Qun Li FedML 13 28 0 16 Jun 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions Shaashwat Agrawal Sagnik Sarkar Ons Aouedi Gokul Yenduri Kandaraj Piamrat S. Bhattacharya Praveen Kumar Reddy Maddikunta Thippa Reddy Gadekallu 25 233 0 16 Jun 2021
Federated Myopic Community Detection with One-shot Communication Chuyang Ke Jean Honorio FedML 9 5 0 14 Jun 2021
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient Sixing Yu P. Nguyen Ali Anwar Ali Jannesari 37 12 0 13 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 28 6 0 13 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 39 774 0 12 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 33 47 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 20 63 0 10 Jun 2021
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft Athanasios Vlontzos Gabriel Sutherland Siddha Ganju Frank Soboczenski 24 2 0 10 Jun 2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners Vaikkunth Mugunthan P. Goyal Lalana Kagal FedML 32 9 0 10 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 56 9 0 09 Jun 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging Artin Spiridonoff Alexander Olshevsky I. Paschalidis FedML 39 20 0 09 Jun 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks D. Kovalev Elnur Gasanov Peter Richtárik Alexander Gasnikov 32 41 0 08 Jun 2021
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh FedML 37 48 0 08 Jun 2021
Widening Access to Applied Machine Learning with TinyML Vijay Janapa Reddi Brian Plancher Susan Kennedy L. Moroney Pete Warden ... Dominic Pajak Dhilan Ramaprasad J. E. Smith Matthew P. Stewart D. Tingley 30 51 0 07 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 33 117 0 06 Jun 2021