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
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 47 0 21 Jan 2021
secureTF: A Secure TensorFlow Framework D. Quoc Franz Gregor Sergei Arnautov Roland Kunkel Pramod Bhatotia Christof Fetzer 44 40 0 20 Jan 2021
FedNS: Improving Federated Learning for collaborative image classification on mobile clients Yaoxin Zhuo Baoxin Li FedML 21 14 0 20 Jan 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 61 67 0 19 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 27 28 0 14 Jan 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 61 212 0 14 Jan 2021
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices Dian Shi Liang Li Rui Chen Pavana Prakash Miao Pan Yuguang Fang 38 44 0 13 Jan 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 82 216 0 11 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 83 51 0 11 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 58 43 0 10 Jan 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Olakunle Ibitoye M. O. Shafiq Ashraf Matrawy FedML 28 18 0 08 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 54 112 0 08 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 32 26 0 06 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 85 110 0 04 Jan 2021
Timely Communication in Federated Learning Baturalp Buyukates S. Ulukus FedML 52 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 47 22 0 31 Dec 2020
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 36 23 0 31 Dec 2020
CADA: Communication-Adaptive Distributed Adam Tianyi Chen Ziye Guo Yuejiao Sun W. Yin ODL 14 24 0 31 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 26 106 0 24 Dec 2020
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare M. Gawali S. ArvindC. Shriya Suryavanshi Harshit Madaan A. Gaikwad KN BhanuPrakash V. Kulkarni Aniruddha Pant FedML 24 35 0 23 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
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 53 37 0 16 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 27 44 0 16 Dec 2020
FedeRank: User Controlled Feedback with Federated Recommender Systems Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara Fedelucio Narducci FedML 19 42 0 15 Dec 2020
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 42 200 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
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning Yae Jee Cho Samarth Gupta Gauri Joshi Osman Yağan FedML 22 67 0 14 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
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 33 52 0 13 Dec 2020
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions Alberto Blanco-Justicia J. Domingo-Ferrer Sergio Martínez David Sánchez Adrian Flanagan K. E. Tan FedML 26 110 0 12 Dec 2020
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections Linshan Jiang Rui Tan Xin Lou Guosheng Lin 24 12 0 11 Dec 2020
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT J. Li Lingjuan Lyu X. Liu X. Zhang X. Lyu 21 113 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
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data N. Mhaisen Alaa Awad Amr M. Mohamed A. Erbad Mohsen Guizani FedML 53 12 0 10 Dec 2020
Optimising cost vs accuracy of decentralised analytics in fog computing environments Lorenzo Valerio A. Passarella M. Conti 35 1 0 09 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 56 82 0 09 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
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun Ang Li Binghui Wang Huanrui Yang Hai Li Yiran Chen FedML 27 164 0 08 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 33 5 0 08 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu FedML 40 82 0 07 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
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 357 0 07 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 29 15 0 06 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring Gautham Krishna Gudur S. K. Perepu FedML 22 37 0 04 Dec 2020
FAT: Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn Beat Buesser FedML 33 43 0 03 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
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020