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
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 39 5 0 15 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 32 4 0 15 Dec 2021
Communication-Efficient Distributed SGD with Compressed Sensing Yujie Tang V. Ramanathan Junshan Zhang Na Li FedML 38 8 0 15 Dec 2021
Scatterbrained: A flexible and expandable pattern for decentralized machine learning Miller Wilt Jordan K Matelsky A. Gearhart FedML OOD 27 4 0 14 Dec 2021
Levels of Autonomous Radiology S. Ghuwalewala V. Kulkarni R. Pant A. Kharat MedIm 29 11 0 14 Dec 2021
Federated Learning for Face Recognition with Gradient Correction Yifan Niu Weihong Deng FedML 44 57 0 14 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 40 0 13 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 17 85 0 12 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation Alper Cetinkaya M. Akin Ş. Sağiroğlu OOD FedML 30 16 0 12 Dec 2021
Communication-Efficient Federated Learning for Neural Machine Translation Tanya Roosta Peyman Passban Ankit R. Chadha FedML AI4CE 27 5 0 12 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 29 88 0 11 Dec 2021
Federated Two-stage Learning with Sign-based Voting Zichen Ma Zihan Lu Yu Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 38 2 0 10 Dec 2021
Applying the Shuffle Model of Differential Privacy to Vector Aggregation Mary Scott Graham Cormode Carsten Maple FedML 52 3 0 10 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 69 78 0 09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi-An Ma Zhao Song Guang Lin FedML 40 16 0 09 Dec 2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang FedML 35 9 0 09 Dec 2021
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 25 5 0 07 Dec 2021
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data L. Nguyen Shashi Raj Pandey B. Soret A. Broering P. Popovski 47 21 0 06 Dec 2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 51 1 0 05 Dec 2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 74 22 0 05 Dec 2021
Engineering AI Tools for Systematic and Scalable Quality Assessment in Magnetic Resonance Imaging Yukai Zou Ikbeom Jang 16 0 0 02 Dec 2021
FedRAD: Federated Robust Adaptive Distillation Stefán Páll Sturluson Samuel Trew Luis Muñoz-González Matei Grama Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary FedML 28 17 0 02 Dec 2021
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks Tran Viet Khoa D. Hoang N. Trung Cong T. Nguyen T. T. T. Quynh Diep N. Nguyen Nguyen Viet Ha E. Dutkiewicz FedML 27 20 0 02 Dec 2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving Manabu Nakanoya Junha Im Hang Qiu Sachin Katti Marco Pavone Sandeep P. Chinchali FedML 46 11 0 02 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 44 61 0 02 Dec 2021
Improving Differentially Private SGD via Randomly Sparsified Gradients Junyi Zhu Matthew B. Blaschko 35 5 0 01 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 27 62 0 01 Dec 2021
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data Ha Min Son M. Kim Tai-Myoung Chung FedML 27 9 0 01 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 62 42 0 01 Dec 2021
Public Data-Assisted Mirror Descent for Private Model Training Ehsan Amid Arun Ganesh Rajiv Mathews Swaroop Indra Ramaswamy Shuang Song Thomas Steinke Vinith Suriyakumar Om Thakkar Abhradeep Thakurta 26 50 0 01 Dec 2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning Yangsibo Huang Samyak Gupta Zhao Song Kai Li Sanjeev Arora FedML AAML SILM 34 269 0 30 Nov 2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 38 34 0 30 Nov 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 24 4 0 29 Nov 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Z. Bilgin FedML AAML 24 1 0 29 Nov 2021
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks Emmanouil Krasanakis Symeon Papadopoulos I. Kompatsiaris GNN 24 7 0 29 Nov 2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation Tian Liu Xian Wei Jun Xia Xin Fu Ting Wang Mingsong Chen 13 15 0 29 Nov 2021
Fed2: Feature-Aligned Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 28 76 0 28 Nov 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 49 158 0 28 Nov 2021
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 82 9 0 28 Nov 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 21 9 0 27 Nov 2021
An Optimization Framework for Federated Edge Learning Yangchen Li Ying Cui Vincent K. N. Lau FedML 23 7 0 26 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 49 77 0 26 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 34 20 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 56 417 0 24 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 21 94 0 22 Nov 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability Yan Kang Yang Liu Yuezhou Wu Guoqiang Ma Qiang Yang 24 39 0 22 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 34 153 0 21 Nov 2021
Decentralized Unsupervised Learning of Visual Representations Yawen Wu Zhepeng Wang Dewen Zeng Meng Li Yiyu Shi Jingtong Hu SSL 45 23 0 21 Nov 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 55 119 0 20 Nov 2021
Federated Learning with Domain Generalization Liling Zhang Xinyu Lei Yichun Shi Hongyu Huang Chao Chen FedML OOD 25 54 0 20 Nov 2021