Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,850 papers shown

Title
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 36 23 0 31 Dec 2020
Byzantine-Resilient Non-Convex Stochastic Gradient Descent Zeyuan Allen-Zhu Faeze Ebrahimian Jingkai Li Dan Alistarh FedML 17 68 0 28 Dec 2020
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing Zheqi Zhu Shuo Wan Pingyi Fan Khaled B. Letaief 19 77 0 28 Dec 2020
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 616 0 27 Dec 2020
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 43 53 0 27 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 26 106 0 24 Dec 2020
Turn Signal Prediction: A Federated Learning Case Study S. Doomra Naman Kohli Shounak Athavale FedML 33 11 0 22 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 25 45 0 20 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 39 52 0 18 Dec 2020
More Industry-friendly: Federated Learning with High Efficient Design Dingwei Li Qinglong Chang Lixue Pang Yanfang Zhang Xudong Sun Jikun Ding Liang Zhang FedML 16 1 0 16 Dec 2020
Wasserstein Contrastive Representation Distillation Liqun Chen Dong Wang Zhe Gan Jingjing Liu Ricardo Henao Lawrence Carin 23 93 0 15 Dec 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information Qi Chang Zhennan Yan L. Baskaran Hui Qu Yikai Zhang Tong Zhang Shaoting Zhang Dimitris N. Metaxas MedIm 21 12 0 15 Dec 2020
Cost-Effective Federated Learning Design Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 22 177 0 15 Dec 2020
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization Yang He Hui-Po Wang M. Zenk Mario Fritz FedML MQ 27 8 0 15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 25 24 0 15 Dec 2020
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 161 272 0 14 Dec 2020
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters Christopher Briggs Zhong Fan Péter András 11 5 0 14 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 18 52 0 14 Dec 2020
Privacy-preserving Decentralized Aggregation for Federated Learning Beomyeol Jeon S. Ferdous Muntasir Raihan Rahman A. Walid FedML 28 52 0 13 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg Yuhao Zhou Qing Ye Jiancheng Lv FedML 26 122 0 12 Dec 2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo Heiko Ludwig FedML 14 23 0 11 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning Canh T. Dinh N. H. Tran Tuan Dung Nguyen Wei Bao A. R. Balef B. Zhou Albert Y. Zomaya FedML 26 15 0 10 Dec 2020
Large-Scale Generative Data-Free Distillation Liangchen Luo Mark Sandler Zi Lin A. Zhmoginov Andrew G. Howard 24 43 0 10 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping Jin-Woo Lee Jaehoon Oh Yooju Shin Jae-Gil Lee Seyoul Yoon FedML 80 16 0 09 Dec 2020
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things Yi Liu Ruihui Zhao Jiawen Kang A. Yassine Dusit Niyato Jia-Jie Peng FedML 72 35 0 08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 44 141 0 07 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation Lushan Song Guopeng Lin Jiaxuan Wang Haoqi Wu Wenqiang Ruan Weili Han 34 9 0 06 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture Jin-Woo Lee Jaehoon Oh Sungsu Lim Se-Young Yun Jae-Gil Lee FedML 33 32 0 06 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 34 148 0 04 Dec 2020
Mitigating Bias in Federated Learning Annie Abay Yi Zhou Nathalie Baracaldo Shashank Rajamoni Ebube Chuba Heiko Ludwig AI4CE 13 87 0 04 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Federated Marginal Personalization for ASR Rescoring Zhe Liu Fuchun Peng 24 1 0 01 Dec 2020
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 39 35 0 01 Dec 2020
Edge-assisted Democratized Learning Towards Federated Analytics Shashi Raj Pandey Minh N. H. Nguyen Tri Nguyen Dang N. H. Tran K. Thar Zhu Han Choong Seon Hong FedML 20 22 0 01 Dec 2020
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning F. Farokhi 17 4 0 30 Nov 2020
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management Helin Yang Jun Zhao Zehui Xiong Kwok-Yan Lam Sumei Sun Liang Xiao 19 180 0 28 Nov 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 27 49 0 25 Nov 2020
Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization Prathamesh Mayekar Shubham K. Jha A. Suresh Himanshu Tyagi FedML 24 2 0 24 Nov 2020
InstaHide's Sample Complexity When Mixing Two Private Images Baihe Huang Zhao Song Runzhou Tao Junze Yin Ruizhe Zhang Danyang Zhuo MIACV 28 9 0 24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 20 282 0 24 Nov 2020
Federated learning with class imbalance reduction Miao Yang Akitanoshou Wong Hongbin Zhu Haifeng Wang H. Qian FedML 14 121 0 23 Nov 2020
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction Pratik Ratadiya Khushi Asawa O. Nikhal FedML 14 7 0 22 Nov 2020
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? Jaeyoung Song Marios Kountouris 27 16 0 22 Nov 2020
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 25 21 0 21 Nov 2020
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization Abolfazl Hashemi Anish Acharya Rudrajit Das H. Vikalo Sujay Sanghavi Inderjit Dhillon 20 7 0 20 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 24 60 0 18 Nov 2020
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning Nick Angelou Ayoub Benaissa Bogdan Cebere William Clark A. Hall ... Pavlos Papadopoulos Robin Roehm R. Sandmann Phillipp Schoppmann Tom Titcombe 19 27 0 18 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 45 463 0 17 Nov 2020
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach Omid Hajihassani Omid Ardakanian Hamzeh Khazaei 12 7 0 16 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning Ihab Mohammed Shadha Tabatabai Ala I. Al-Fuqaha Faissal El Bouanani Junaid Qadir Basheer Qolomany Mohsen Guizani 35 60 0 16 Nov 2020