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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"

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Title
FedNS: Improving Federated Learning for collaborative image classification on mobile clients Yaoxin Zhuo Baoxin Li FedML 67 14 0 20 Jan 2021
The Next Decade of Telecommunications Artificial Intelligence Ouyang Ye Lilei Wang Aidong Yang Le Su David Belanger Tongqing Gao Leping Wei Yaqin Zhang 59 17 0 19 Jan 2021
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments Sharare Zehtabian Siavash Khodadadeh Ladislau Bölöni D. Turgut 53 33 0 17 Jan 2021
Adversarial Attacks On Multi-Agent Communication James Tu Tsun-Hsuan Wang Jingkang Wang S. Manivasagam Mengye Ren R. Urtasun AAML 157 60 0 17 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 75 29 0 14 Jan 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 123 229 0 14 Jan 2021
$C^3DRec$ : Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era Jialiang Han Yudong Han 48 0 0 13 Jan 2021
Personalized Federated Deep Learning for Pain Estimation From Face Images Ognjen Rudovic Nicolas Tobis Sebastian Kaltwang Björn Schuller Daniel Rueckert Jeffrey F. Cohn Rosalind W. Picard CVBM FedML 60 24 0 12 Jan 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 164 104 0 11 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 125 46 0 10 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 136 114 0 08 Jan 2021
Architectural Patterns for the Design of Federated Learning Systems Sin Kit Lo Qinghua Lu Liming Zhu Hye-Young Paik Xiwei Xu Chen Wang FedML AI4CE 108 65 0 07 Jan 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 131 14 0 06 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Quoc-Viet Pham Kapal Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 73 207 0 04 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 146 113 0 04 Jan 2021
Federated Nonconvex Sparse Learning Qianqian Tong Guannan Liang Tan Zhu J. Bi FedML 76 14 0 31 Dec 2020
Timely Communication in Federated Learning Baturalp Buyukates S. Ulukus FedML 117 39 0 31 Dec 2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 108 23 0 31 Dec 2020
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 73 23 0 31 Dec 2020
Byzantine-Resilient Non-Convex Stochastic Gradient Descent Zeyuan Allen-Zhu Faeze Ebrahimian Jingkai Li Dan Alistarh FedML 88 70 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 133 78 0 28 Dec 2020
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 195 665 0 27 Dec 2020
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 138 59 0 27 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 110 112 0 24 Dec 2020
Turn Signal Prediction: A Federated Learning Case Study S. Doomra Naman Kohli Shounak Athavale FedML 66 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 57 46 0 20 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 103 57 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 35 1 0 16 Dec 2020
Wasserstein Contrastive Representation Distillation Liqun Chen Dong Wang Zhe Gan Jingjing Liu Ricardo Henao Lawrence Carin 91 96 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 78 12 0 15 Dec 2020
Cost-Effective Federated Learning Design Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 98 184 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 90 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 73 26 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 244 287 0 14 Dec 2020
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters Christopher Briggs Zhong Fan Péter András 39 5 0 14 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 86 53 0 14 Dec 2020
Privacy-preserving Decentralized Aggregation for Federated Learning Beomyeol Jeon S. Ferdous Muntasir Raihan Rahman A. Walid FedML 139 60 0 13 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg Yuhao Zhou Qing Ye Jiancheng Lv FedML 61 130 0 12 Dec 2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo Heiko Ludwig FedML 88 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 112 16 0 10 Dec 2020
Large-Scale Generative Data-Free Distillation Liangchen Luo Mark Sandler Zi Lin A. Zhmoginov Andrew G. Howard 92 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 126 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 122 35 0 08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 96 150 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 157 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 96 32 0 06 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 153 152 0 04 Dec 2020
Mitigating Bias in Federated Learning Annie Abay Yi Zhou Nathalie Baracaldo Shashank Rajamoni Ebube Chuba Heiko Ludwig AI4CE 74 94 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 110 115 0 02 Dec 2020
Federated Marginal Personalization for ASR Rescoring Zhe Liu Fuchun Peng 91 1 0 01 Dec 2020