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
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 38 21 0 23 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 29 56 0 21 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 39 9 0 20 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng Heng Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 38 74 0 20 Aug 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning Anirban Das Timothy Castiglia Shiqiang Wang S. Patterson FedML 13 19 0 19 Aug 2021
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher FedML 46 46 0 19 Aug 2021
Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions Arsalan Sharifnassab Saber Salehkaleybar S. J. Golestani FedML 11 0 0 19 Aug 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 21 0 0 19 Aug 2021
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Chen Shen Pochuan Wang H. Roth Dong Yang Daguang Xu ... C. Fuh Po-Ting Chen Kao-Lang Liu W. Liao K. Mori FedML 16 41 0 19 Aug 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui Weishen Pan Jian Liang Changshui Zhang Fei Wang FedML 28 84 0 19 Aug 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Haoze Song AI4TS 14 26 0 18 Aug 2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data Zilong Zhao Robert Birke A. Kunar L. Chen FedML 17 22 0 18 Aug 2021
Data Pricing in Machine Learning Pipelines Zicun Cong Xuan Luo J. Pei Feida Zhu Yong Zhang 28 47 0 18 Aug 2021
Federated Multi-Target Domain Adaptation Chun-Han Yao Boqing Gong Huayu Chen Qi Yukun Zhu Ming-Hsuan Yang OOD FedML 11 63 0 17 Aug 2021
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT Chen-Feng Liu M. Bennis OOD 36 2 0 17 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 30 32 0 16 Aug 2021
Federated Asymptotics: a model to compare federated learning algorithms Gary Cheng Karan N. Chadha John C. Duchi FedML 27 16 0 16 Aug 2021
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning Cengguang Zhang Junxue Zhang Di Chai Kai Chen FedML 27 5 0 16 Aug 2021
Blockchain-based Trustworthy Federated Learning Architecture Sin Kit Lo Yue Liu Qinghua Lu Chen Wang Xiwei Xu Hye-Young Paik Liming Zhu FedML 32 18 0 16 Aug 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou K. K. Thekumparampil Giulia Fanti Sewoong Oh FedML 39 14 0 16 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 52 11 0 12 Aug 2021
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates Srikanth Chandar Pravin Chandran Raghavendra Bhat Avinash Chakravarthi AI4CE 40 3 0 12 Aug 2021
An Operator Splitting View of Federated Learning Saber Malekmohammadi Kiarash Shaloudegi Zeou Hu Yaoliang Yu FedML 31 2 0 12 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 99 0 10 Aug 2021
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles Zhe Wang Xinhang Li Tianhao Wu Chen Xu Lin Zhang FedML 35 15 0 09 Aug 2021
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning Shuang Dai Fanlin Meng Qian Wang Xizhong Chen 28 18 0 08 Aug 2021
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset Zhuofan Zhang Mi Zhou K. Niu C. Abdallah FedML 44 1 0 07 Aug 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption Dimitris Stripelis Hamza Saleem Tanmay Ghai Nikhil J. Dhinagar Umang Gupta ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML 53 53 0 07 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 40 37 0 05 Aug 2021
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles Mingming Liu 27 14 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 38 48 0 04 Aug 2021
Secure and Privacy-Preserving Federated Learning via Co-Utility J. Domingo-Ferrer Alberto Blanco-Justicia Jesús Manjón David Sánchez FedML 24 37 0 04 Aug 2021
Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application Joo Hun Yoo Ha Min Son Hyejun Jeong E. Jang A. Kim H. Yu Hong Jin Jeon Tai-Myung Chung FedML OOD 33 31 0 04 Aug 2021
Learning a Neural Diff for Speech Models J. Macoskey Grant P. Strimel Ariya Rastrow 18 2 0 03 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 55 149 0 02 Aug 2021
Rethinking gradient sparsification as total error minimization Atal Narayan Sahu Aritra Dutta A. Abdelmoniem Trambak Banerjee Marco Canini Panos Kalnis 50 56 0 02 Aug 2021
Communication-Efficient Federated Learning via Predictive Coding Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 30 14 0 02 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 51 74 0 01 Aug 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 43 64 0 30 Jul 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 79 45 0 30 Jul 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Kaan Ozkara Navjot Singh Deepesh Data Suhas Diggavi FedML MQ 29 56 0 29 Jul 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 45 0 0 28 Jul 2021
A Payload Optimization Method for Federated Recommender Systems Farwa K. Khan Adrian Flanagan K. E. Tan Z. Alamgir Muhammad Ammad-ud-din 82 30 0 27 Jul 2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning Kamala Varma Yi Zhou Nathalie Baracaldo Ali Anwar FedML 31 16 0 26 Jul 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 32 30 0 26 Jul 2021
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 27 106 0 26 Jul 2021
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 29 45 0 25 Jul 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 15 107 0 24 Jul 2021
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning Chung-Hsuan Hu Zheng Chen Erik G. Larsson FedML 33 29 0 23 Jul 2021