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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
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 90 50 0 25 Nov 2020
InstaHide's Sample Complexity When Mixing Two Private Images Baihe Huang Zhao Song Runzhou Tao Junze Yin Ruizhe Zhang Danyang Zhuo MIACV 64 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 99 293 0 24 Nov 2020
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty Yilun Lin Chaochao Chen Cen Chen Li Wang FedML 86 8 0 23 Nov 2020
Federated learning with class imbalance reduction Miao Yang Akitanoshou Wong Hongbin Zhu Haifeng Wang H. Qian FedML 69 126 0 23 Nov 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 54 0 0 23 Nov 2020
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? Jaeyoung Song Marios Kountouris 33 17 0 22 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 77 9 0 20 Nov 2020
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning Xinyi Xu Lingjuan Lyu FedML 132 71 0 20 Nov 2020
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach Hang Liu Xiaojun Yuan Y. Zhang 103 129 0 20 Nov 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 90 9 0 19 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 82 60 0 18 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 127 102 0 17 Nov 2020
Private Wireless Federated Learning with Anonymous Over-the-Air Computation Burak Hasircioglu Deniz Gunduz FedML 78 33 0 17 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 89 61 0 17 Nov 2020
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks Yunlong Lu Xiaohong Huang Ke Zhang Sabita Maharjan Yan Zhang 67 355 0 17 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 67 63 0 16 Nov 2020
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments Harry Cai Daniel Rueckert Jonathan Passerat-Palmbach FedML 38 11 0 15 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 54 21 0 15 Nov 2020
FedRec: Federated Learning of Universal Receivers over Fading Channels Mahdi Boloursaz Mashhadi Nir Shlezinger Yonina C. Eldar Deniz Gunduz FedML 63 16 0 14 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 38 2 0 14 Nov 2020
A Theoretical Perspective on Differentially Private Federated Multi-task Learning Huiwen Wu Cen Chen Li Wang FedML 56 12 0 14 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 48 8 0 13 Nov 2020
Fed-Focal Loss for imbalanced data classification in Federated Learning D. Sarkar Ankur Narang Sumit Rai FedML 61 48 0 12 Nov 2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 134 93 0 12 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 57 1 0 11 Nov 2020
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning Jiangcheng Qin Baisong Liu FedML 115 19 0 11 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 67 9 0 10 Nov 2020
Compression Boosts Differentially Private Federated Learning Raouf Kerkouche G. Ács C. Castelluccia P. Genevès FedML 75 30 0 10 Nov 2020
Federated Learning via Intelligent Reflecting Surface Zhibin Wang Jiahang Qiu Yong Zhou Yuanming Shi Liqun Fu Wei Chen Khaled B. Letaief 85 155 0 10 Nov 2020
Interpretable collaborative data analysis on distributed data A. Imakura Hiroaki Inaba Yukihiko Okada Tetsuya Sakurai FedML 38 26 0 09 Nov 2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 79 5 0 09 Nov 2020
SplitEasy: A Practical Approach for Training ML models on Mobile Devices Kamalesh Palanisamy Vivek Khimani Moin Hussain Moti Dimitris Chatzopoulos 77 21 0 09 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning Nader Bouacida Jiahui Hou H. Zang Xin Liu FedML 100 78 0 08 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 84 73 0 06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 47 21 0 06 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 93 56 0 06 Nov 2020
Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution Junjie Pang Jianbo Li Zhenzhen Xie Yan-ping Huang Zhipeng Cai AI4CE 53 126 0 05 Nov 2020
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 123 70 0 05 Nov 2020
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 110 92 0 04 Nov 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 75 141 0 04 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee Tiansheng Huang Weiwei Lin Wentai Wu Ligang He Keqin Li Albert Y. Zomaya FedML 161 234 0 03 Nov 2020
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! D. Kovalev Anastasia Koloskova Martin Jaggi Peter Richtárik Sebastian U. Stich 93 75 0 03 Nov 2020
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 102 111 0 03 Nov 2020
Synthetic Data Generation for Economists Allison Koenecke H. Varian 31 8 0 02 Nov 2020
Semi-supervised Federated Learning for Activity Recognition Yuchen Zhao Hanyang Liu Honglin Li Payam Barnaghi Hamed Haddadi FedML HAI 49 73 0 02 Nov 2020
One-Shot Federated Learning with Neuromorphic Processors Kenneth Stewart Yanqi Gu FedML 56 2 0 01 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei Chen FedML 68 31 0 30 Oct 2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework Dhruv Guliani F. Beaufays Giovanni Motta FedML 63 85 0 29 Oct 2020
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 95 106 0 28 Oct 2020