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
Concept Drift Detection in Federated Networked Systems D. Manias I. Shaer Li Yang Abdallah Shami 14 29 0 13 Sep 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 47 26 0 13 Sep 2021
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI M. Biswal A. S. Tayeen Satyajayant Misra 19 9 0 13 Sep 2021
Critical Learning Periods in Federated Learning Gang Yan Hao Wang Jian Li FedML 46 8 0 12 Sep 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 29 7 0 11 Sep 2021
Toward Communication Efficient Adaptive Gradient Method Xiangyi Chen Xiaoyun Li P. Li FedML 42 41 0 10 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 246 0 09 Sep 2021
An Experimental Study of Class Imbalance in Federated Learning Chenguang Xiao S. Wang FedML 9 7 0 09 Sep 2021
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets Zhenning Tan Yuguang Yang Eunjung Han A. Stolcke 18 5 0 06 Sep 2021
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 33 1 0 03 Sep 2021
Asynchronous Federated Learning for Sensor Data with Concept Drift Yujing Chen Zheng Chai Yue Cheng Huzefa Rangwala FedML 26 32 0 01 Sep 2021
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization Yen-hsiu Chou linda Qiao Chenxi Sun D. Cai Moxian Song Hongyan Li FedML 25 9 0 31 Aug 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 32 373 0 30 Aug 2021
Canoe : A System for Collaborative Learning for Neural Nets Harshit Daga Yiwen Chen Aastha Agrawal Ada Gavrilovska FedML 24 2 0 27 Aug 2021
Decentralized optimization with non-identical sampling in presence of stragglers Tharindu B. Adikari S. Draper 43 1 0 25 Aug 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 18 23 0 24 Aug 2021
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints Ilyes Mrad L. Samara A. Abdellatif A. Al-Abbasi R. Hamila A. Erbad 34 10 0 23 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 45 271 0 23 Aug 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 48 214 0 23 Aug 2021
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift Moming Duan Duo Liu Xinyuan Ji Yu Wu Liang Liang Xianzhang Chen Yujuan Tan FedML OOD 42 110 0 22 Aug 2021
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update Junyu Luo Jianlei Yang Xucheng Ye Xin Guo Weisheng Zhao FedML 28 14 0 20 Aug 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 27 32 0 20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 35 79 0 20 Aug 2021
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher FedML 46 46 0 19 Aug 2021
Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions Arsalan Sharifnassab Saber Salehkaleybar S. J. Golestani FedML 11 0 0 19 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 242 0 19 Aug 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 21 0 0 19 Aug 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 27 23 0 18 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 18 115 0 13 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 50 11 0 12 Aug 2021
FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning Haoyu Zhao Zhize Li Peter Richtárik FedML 30 29 0 10 Aug 2021
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage Daniel Scheliga Patrick Mäder M. Seeland MIACV 14 36 0 10 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 99 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 22 7 0 07 Aug 2021
User Scheduling for Federated Learning Through Over-the-Air Computation Xiang Ma Haijian Sun Qun Wang R. Hu FedML 42 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 35 7 0 05 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 40 0 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 38 48 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 33 31 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 48 73 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 13 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 79 45 0 30 Jul 2021
HAFLO: GPU-Based Acceleration for Federated Logistic Regression Xiaodian Cheng Wanhang Lu Xinyang Huang Shuihai Hu Kai Chen FedML 15 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 82 29 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 21 19 0 26 Jul 2021
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 27 106 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 30 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 29 45 0 25 Jul 2021