v1v2 (latest)

Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,869 papers shown

Title
SecFL: Confidential Federated Learning using TEEs D. Quoc Christof Fetzer FedML 80 16 0 03 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 164 47 0 01 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 138 3 0 01 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis Fatemehsadat Mireshghallah Vaishnavi Shrivastava Milad Shokouhi Taylor Berg-Kirkpatrick Robert Sim Dimitrios Dimitriadis FedML 128 36 0 01 Oct 2021
Coding for Straggler Mitigation in Federated Learning Siddhartha Kumar Reent Schlegel E. Rosnes Alexandre Graell i Amat FedML 81 11 0 30 Sep 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 98 18 0 30 Sep 2021
Secure Machine Learning over Relational Data Qiyao Luo Yilei Wang Zhenghang Ren K. Yi Kai Chen Xiao Wang 90 4 0 30 Sep 2021
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning Haizhou Shi Youcai Zhang Zijin Shen Siliang Tang Yaqian Li Yandong Guo Yueting Zhuang 42 6 0 29 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 98 6 0 28 Sep 2021
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis Sagar Shrestha Xiao Fu FedML 69 0 0 25 Sep 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay Kumar 156 57 0 25 Sep 2021
MC $^2$ -SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation Zeyuan Chen Jiangchao Yao Feng Wang Kunyang Jia Bo Han Wei Zhang Hongxia Yang 81 10 0 25 Sep 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 54 3 0 24 Sep 2021
Energy efficient distributed analytics at the edge of the network for IoT environments Lorenzo Valerio M. Conti A. Passarella 44 29 0 23 Sep 2021
Assisted Learning for Organizations with Limited Imbalanced Data Cheng Chen Jiaying Zhou Jie Ding Yi Zhou FedML 90 3 0 20 Sep 2021
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance Praveen Joshi Chandra Thapa S. Çamtepe M. Hasanuzzamana T. Scully Haithem Afli FedML 101 25 0 19 Sep 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Changxin Liu Yong Zhang TDI FedML 109 49 0 19 Sep 2021
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching Tahseen Rabbani Brandon Yushan Feng Marco Bornstein Kyle Rui Sang Yifan Yang Arjun Rajkumar A. Varshney Furong Huang FedML 124 2 0 17 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 77 6 0 14 Sep 2021
Concept Drift Detection in Federated Networked Systems D. Manias I. Shaer Li Yang Abdallah Shami 66 29 0 13 Sep 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 107 27 0 13 Sep 2021
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI M. Biswal A. S. Tayeen Satyajayant Misra 55 9 0 13 Sep 2021
Critical Learning Periods in Federated Learning Gang Yan Hao Wang Jian Li FedML 87 8 0 12 Sep 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 60 8 0 11 Sep 2021
Toward Communication Efficient Adaptive Gradient Method Xiangyi Chen Xiaoyun Li P. Li FedML 85 42 0 10 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 177 263 0 09 Sep 2021
An Experimental Study of Class Imbalance in Federated Learning Chenguang Xiao S. Wang FedML 66 8 0 09 Sep 2021
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets Zhenning Tan Yuguang Yang Eunjung Han A. Stolcke 42 5 0 06 Sep 2021
Event-Based Communication in Distributed Q-Learning Daniel Jarne Ornia M. Mazo 65 2 0 03 Sep 2021
Asynchronous Federated Learning for Sensor Data with Concept Drift Yujing Chen Zheng Chai Yue Cheng Huzefa Rangwala FedML 110 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 71 11 0 31 Aug 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 113 394 0 30 Aug 2021
Canoe : A System for Collaborative Learning for Neural Nets Harshit Daga Yiwen Chen Aastha Agrawal Ada Gavrilovska FedML 71 2 0 27 Aug 2021
Decentralized optimization with non-identical sampling in presence of stragglers Tharindu B. Adikari S. Draper 59 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 106 46 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 68 27 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 75 11 0 23 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 160 284 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 133 223 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 95 115 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 64 14 0 20 Aug 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 80 34 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 77 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 120 50 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 100 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 113 258 0 19 Aug 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 50 0 0 19 Aug 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 83 27 0 18 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 56 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 159 126 0 13 Aug 2021