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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
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 65 231 0 05 Jun 2020
Local SGD With a Communication Overhead Depending Only on the Number of Workers Artin Spiridonoff Alexander Olshevsky I. Paschalidis FedML 61 19 0 03 Jun 2020
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning Wei Yang Bryan Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Cyril Leung Chunyan Miao Qiang Yang FedML 72 26 0 31 May 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 112 54 0 30 May 2020
Meta Clustering for Collaborative Learning Chenglong Ye R. Ghanadan Jie Ding 123 4 0 29 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 110 83 0 29 May 2020
Continual Local Training for Better Initialization of Federated Models Xin Yao Lifeng Sun FedML 62 72 0 26 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 44 2 0 24 May 2020
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts Surin Ahn Ayfer Özgür Mert Pilanci 21 0 0 21 May 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 77 65 0 21 May 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning Andrew Straiton Hard Kurt Partridge Cameron Nguyen Niranjan A. Subrahmanya Aishanee Shah Pai Zhu Ignacio López Moreno Rajiv Mathews OOD FedML 76 67 0 21 May 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 97 70 0 19 May 2020
VerifyTL: Secure and Verifiable Collaborative Transfer Learning Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu Wei Zheng K. Choo R. Deng AAML 48 3 0 18 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 83 87 0 18 May 2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning Han Cha Jihong Park Hyesung Kim M. Bennis Seong-Lyun Kim 80 26 0 13 May 2020
A Secure Federated Learning Framework for 5G Networks Yi Liu Jia-Jie Peng Jiawen Kang Abdullah M. Iliyasu Dusit Niyato A. El-latif FedML 72 200 0 12 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 226 184 0 11 May 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 99 53 0 11 May 2020
Cloud-based Federated Boosting for Mobile Crowdsensing Zhuzhu Wang Yilong Yang Yang Liu Ximeng Liu B. Gupta Jianfeng Ma FedML 62 13 0 09 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 133 40 0 07 May 2020
A Federated Learning Framework for Healthcare IoT devices Binhang Yuan Song Ge Wenhui Xing FedML OOD 69 69 0 07 May 2020
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning Semih Yagli Alex Dytso H. Vincent Poor FedML 87 33 0 05 May 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo Mingrui Liu Zhuoning Yuan Li Shen Wei Liu Tianbao Yang 102 42 0 05 May 2020
Differentially Private Federated Learning with Laplacian Smoothing Zhicong Liang Bao Wang Quanquan Gu Stanley Osher Yuan Yao FedML 81 8 0 01 May 2020
Dynamic backup workers for parallel machine learning Chuan Xu Giovanni Neglia Nicola Sebastianelli 74 11 0 30 Apr 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 193 27 0 27 Apr 2020
Towards Ubiquitous AI in 6G with Federated Learning Yong Xiao Guangming Shi Marwan Krunz FedML 60 41 0 26 Apr 2020
Federated Transfer Learning for EEG Signal Classification Ce Ju Dashan Gao R. Mane Ben Tan Yang Liu Cuntai Guan FedML 62 108 0 26 Apr 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 138 596 0 25 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 135 15 0 24 Apr 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data Christopher Briggs Zhong Fan Péter András FedML 96 581 0 24 Apr 2020
Enhancing Privacy via Hierarchical Federated Learning A. Wainakh Alejandro Sánchez Guinea Tim Grube M. Mühlhäuser FedML 75 46 0 23 Apr 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 111 150 0 22 Apr 2020
Hierarchically Fair Federated Learning Jingfeng Zhang Cheng Li A. Robles-Kelly Mohan Kankanhalli FedML 87 57 0 22 Apr 2020
Federated Learning with Only Positive Labels Felix X. Yu A. S. Rawat A. Menon Sanjiv Kumar FedML 71 112 0 21 Apr 2020
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning Sohei Itahara Takayuki Nishio M. Morikura Koji Yamamoto 49 12 0 21 Apr 2020
Local Differential Privacy based Federated Learning for Internet of Things Yang Zhao Jun Zhao Mengmeng Yang Teng Wang Ning Wang Lingjuan Lyu Dusit Niyato Kwok-Yan Lam 107 306 0 19 Apr 2020
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search Chaoyang He M. Annavaram A. Avestimehr OOD FedML 76 88 0 18 Apr 2020
Asymmetrical Vertical Federated Learning Yang Liu Xiong Zhang Libin Wang FedML 29 46 0 16 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 76 26 0 15 Apr 2020
Secure Federated Learning in 5G Mobile Networks Martin Isaksson K. Norrman 23 24 0 14 Apr 2020
PrivEdge: From Local to Distributed Private Training and Prediction Ali Shahin Shamsabadi Adria Gascon Hamed Haddadi Andrea Cavallaro 67 19 0 12 Apr 2020
Asynchronous Decentralized Learning of a Neural Network Xinyue Liang Alireza M. Javid Mikael Skoglund Saikat Chatterjee 62 8 0 10 Apr 2020
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT Besher Alhalabi M. Gaber S. Basurra 20 1 0 09 Apr 2020
Federated Multi-view Matrix Factorization for Personalized Recommendations Adrian Flanagan Were Oyomno A. Grigorievskiy K. E. Tan Suleiman A. Khan Muhammad Ammad-ud-din FedML 75 71 0 08 Apr 2020
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach Nguyen Quang Hieu Tran The Anh Nguyen Cong Luong Dusit Niyato Dong In Kim E. Elmroth 60 20 0 08 Apr 2020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study Christoph Baur Stefan Denner Benedikt Wiestler Shadi Albarqouni Nassir Navab OOD 115 294 0 07 Apr 2020
Evaluating the Communication Efficiency in Federated Learning Algorithms Muhammad Asad Ahmed Moustafa Takayuki Ito M. Aslam FedML 70 55 0 06 Apr 2020
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks K. Mandal G. Gong FedML 136 73 0 05 Apr 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky D. Kovalev Elnur Gasanov Laurent Condat Peter Richtárik FedML 154 117 0 03 Apr 2020