Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

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

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Title
A Secure and Efficient Federated Learning Framework for NLP Jieren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding FedML 77 22 0 28 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 37 6 0 27 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 43 43 0 27 Jan 2022
Data-Quality Based Scheduling for Federated Edge Learning Afaf Taik Hajar Moudoud Soumaya Cherkaoui 41 18 0 27 Jan 2022
A dual approach for federated learning Zhenan Fan Huang Fang M. Friedlander FedML 31 3 0 26 Jan 2022
Fast Server Learning Rate Tuning for Coded Federated Dropout Giacomo Verardo Daniela F. Barreira Marco Chiesa Dejan Kostic Gerald Q. Maguire Jr FedML 40 1 0 26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 65 14 0 26 Jan 2022
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees Yuchang Sun Jiawei Shao Songze Li Yuyi Mao Jun Zhang FedML 45 17 0 25 Jan 2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN Zilong Zhao Jiyue Huang Stefanie Roos L. Chen AAML 29 5 0 24 Jan 2022
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks Aditya Saxena Shamsheer Pal Singh 42 14 0 24 Jan 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 35 9 0 24 Jan 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning Wenzhi Fang Ziyi Yu Yuning Jiang Yuanming Shi Colin N. Jones Yong Zhou FedML 78 57 0 24 Jan 2022
Long-term Data Sharing under Exclusivity Attacks Yotam gafni Moshe Tennenholtz 29 2 0 22 Jan 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis Jinbao Wang Guoyang Xie Yawen Huang Yuexiang Li Yefeng Zheng Feng Zheng Yaochu Jin FedML MedIm 48 47 0 22 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 37 10 0 21 Jan 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 41 1 0 21 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 43 24 0 20 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 42 215 0 20 Jan 2022
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities Mi-Gyoung Cho A. Mashhadi FedML 44 1 0 20 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 32 73 0 19 Jan 2022
SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation Yash More Prashanthi Ramachandran Priyam Panda A. Mondal Harpreet Virk Debayan Gupta FedML 50 11 0 19 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 43 37 0 18 Jan 2022
How to Backdoor HyperNetwork in Personalized Federated Learning? Phung Lai Nhathai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu AAML FedML 41 0 0 18 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 29 1 0 18 Jan 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 26 8 0 15 Jan 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 64 15 0 14 Jan 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 53 162 0 13 Jan 2022
Function Computation Under Privacy, Secrecy, Distortion, and Communication Constraints Onur Gunlu 33 5 0 11 Jan 2022
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits Sunwoo Lee Anit Kumar Sahu Chaoyang He Salman Avestimehr FedML 40 18 0 11 Jan 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 33 13 0 10 Jan 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 19 16 0 10 Jan 2022
Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly Multimedia Traffic in Graynet Satoshi Kamo Yiqiang Sheng 11 0 0 09 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Shanghang Zhang Jieyu Lin Qi Zhang 48 64 0 09 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 46 94 0 08 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 29 21 0 07 Jan 2022
Fair and efficient contribution valuation for vertical federated learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Yong Zhang TDI FedML 32 25 0 07 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 40 7 0 06 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li Xinming Zhang Ping Li 3DV 40 8 0 05 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 19 74 0 05 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection Phillip Rieger T. D. Nguyen Markus Miettinen A. Sadeghi FedML AAML 48 152 0 03 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones Zhe Zhang Shiyao Ma Zhaohui Yang Zehui Xiong Jiawen Kang Yi Wu Kejia Zhang Dusit Niyato 27 35 0 03 Jan 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification Huanlai Xing Zhiwen Xiao R. Qu Zonghai Zhu Bowen Zhao FedML 40 108 0 30 Dec 2021
Tiansuan Constellation: An Open Research Platform Shangguang Wang Qing Li Mengwei Xu Xiao Ma Ao Zhou Qibo Sun LRM 40 40 0 30 Dec 2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 68 10 0 28 Dec 2021
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 30 1 0 28 Dec 2021
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity David Nickel F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 34 1 0 27 Dec 2021
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings Tiantian Feng H. Hashemi Rajat Hebbar M. Annavaram Shrikanth S. Narayanan 36 26 0 26 Dec 2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 39 3 0 26 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 29 30 0 25 Dec 2021
Faster Rates for Compressed Federated Learning with Client-Variance Reduction Haoyu Zhao Konstantin Burlachenko Zhize Li Peter Richtárik FedML 40 13 0 24 Dec 2021