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
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 25 292 0 19 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 41 25 0 15 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 24 20 0 08 Apr 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky D. Kovalev Elnur Gasanov Laurent Condat Peter Richtárik FedML 27 115 0 03 Apr 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 37 398 0 02 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 27 263 0 31 Mar 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 214 546 0 30 Mar 2020
Federated Residual Learning Alekh Agarwal John Langford Chen-Yu Wei FedML 24 40 0 28 Mar 2020
Semi-Federated Learning Zhikun Chen Daofeng Li Mingde Zhao Sihai Zhang Jinkang Zhu FedML 16 18 0 28 Mar 2020
The Internet of Things as a Deep Neural Network Rong Du Sindri Magnússon Carlo Fischione 17 7 0 23 Mar 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 41 493 0 23 Mar 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 28 66 0 21 Mar 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 158 57 0 20 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 327 0 19 Mar 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 22 14 0 18 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory Hamid Shiri Jihong Park M. Bennis 12 77 0 09 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 47 174 0 07 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 40 200 0 06 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 204 436 0 04 Mar 2020
Stochastic Calibration of Radio Interferometers S. Yatawatta 14 6 0 02 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 58 1,395 0 29 Feb 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 26 7 0 27 Feb 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 29 135 0 26 Feb 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 33 339 0 26 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 27 115 0 26 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 27 62 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 566 0 25 Feb 2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks Changyang She Rui Dong Zhouyou Gu Zhanwei Hou Yonghui Li Wibowo Hardjawana Chenyang Yang Lingyang Song Branka Vucetic AI4TS 35 104 0 22 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 32 180 0 22 Feb 2020
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection Zhenheng Tang S. Shi Xiaowen Chu FedML 21 57 0 22 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 327 0 22 Feb 2020
Anonymizing Data for Privacy-Preserving Federated Learning Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML 30 42 0 21 Feb 2020
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor M. Safaryan Egor Shulgin Peter Richtárik 32 61 0 20 Feb 2020
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 22 25 0 20 Feb 2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos Dianbo Liu Timothy A. Miller AI4MH 38 34 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 563 0 19 Feb 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 34 253 0 18 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 49 37 0 18 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 28 3 0 18 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 72 1,101 0 15 Feb 2020
Gradient tracking and variance reduction for decentralized optimization and machine learning Ran Xin S. Kar U. Khan 19 10 0 13 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 84 171 0 12 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 25 261 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 34 289 0 11 Feb 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts Max Ryabinin Anton I. Gusev FedML 27 48 0 10 Feb 2020
Better Theory for SGD in the Nonconvex World Ahmed Khaled Peter Richtárik 13 180 0 09 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 30 51 0 06 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 22 47 0 06 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 27 29 0 03 Feb 2020