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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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Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 99 0 0 31 Oct 2024
Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions Gajan Mohan Raj Michael G. Morley Mohammad Eslami FedML MedIm 22 0 0 30 Oct 2024
(FL) $^2$ : Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee Thanh-Long V. Le Jaemin Shin Sung-Ju Lee FedML 112 2 0 30 Oct 2024
A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example Huan-Chih Wang Ja-Ling Wu FedML 36 0 0 30 Oct 2024
CopRA: A Progressive LoRA Training Strategy Zhan Zhuang Xiequn Wang Yulong Zhang Wei Li Yu Zhang Ying Wei 121 1 0 30 Oct 2024
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents Safwan Labbi D. Tiapkin Lorenzo Mancini Paul Mangold Eric Moulines FedML 125 0 0 30 Oct 2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 72 0 0 30 Oct 2024
$r$ Age- $k$ : Communication-Efficient Federated Learning Using Age Factor Matin Mortaheb Priyanka Kaswan S. Ulukus FedML 99 1 0 29 Oct 2024
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization Meitong Liu Xiaoyuan Zhang Chulin Xie Kate Donahue Han Zhao 84 2 0 29 Oct 2024
On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning Arpit Guleria J. Harshan Ranjitha Prasad B. N. Bharath FedML 41 0 0 28 Oct 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data Chenrui Fan Zhi Wen Soi Aditya Shankar Abele Malan Lydia Y. Chen FedML AI4TS 70 0 0 28 Oct 2024
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data Yukun Zhang Guanzhong Chen Zenglin Xu Jianyong Wang Dun Zeng Jiajian Li Jinghua Wang Yuan Qi Irwin King FedML 103 1 0 28 Oct 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett FedML 67 1 0 28 Oct 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 134 1 0 28 Oct 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Yuante Li FedML 98 1 0 28 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 143 9 0 27 Oct 2024
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation Zhichao Wang Lin Wang Yongxin Guo Ying-Jun Angela Zhang Xiaoying Tang FedML 54 0 0 26 Oct 2024
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs Yuto Shibata Yasunori Kudo Yohei Sugawara 90 0 0 26 Oct 2024
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts Amir Najafi Samin Mahdizadeh Sani Farzan Farnia OOD FedML 111 0 0 26 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 99 4 0 25 Oct 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 65 0 0 24 Oct 2024
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples Huiyu Wu Diego Klabjan FedML 167 1 0 24 Oct 2024
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin Osman Yagan Carlee Joe-Wong FedML 73 1 0 24 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Jianfei Chen Jingfeng Xue Yanjie Wang Zhenyan Liu Lu Huang FedML 64 1 0 24 Oct 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning Chen Gong Zhenzhe Zheng Fan Wu Xiaofeng Jia Guihai Chen LMTD FedML 80 3 0 24 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 147 2 0 24 Oct 2024
LEGO: Language Model Building Blocks Shrenik Bhansali Alwin Jin Tyler Lizzo Larry Heck 31 0 0 23 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 54 2 0 23 Oct 2024
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang Qiang Li Yuan Hong Binghui Wang AAML FedML 58 2 0 23 Oct 2024
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering He Zhu Ren Togo Takahiro Ogawa Miki Haseyama MedIm 74 0 0 23 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 120 4 0 23 Oct 2024
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning Rui Sun Zhipeng Wang Hengrui Zhang Ming Jiang Yizhe Wen Jiqun Zhang Jiahao Sun Shuoying Zhang OOD FedML 103 0 0 23 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 84 5 0 22 Oct 2024
Error Feedback under $(L_0,L_1)$ -Smoothness: Normalization and Momentum Sarit Khirirat Abdurakhmon Sadiev Artem Riabinin Eduard A. Gorbunov Peter Richtárik 84 2 0 22 Oct 2024
Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity Mengjiao Zhang Jia Xu FedML 44 0 0 21 Oct 2024
Distributed Learning for UAV Swarms Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie FedML 51 0 0 21 Oct 2024
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis Anika Hannemann Arjhun Swaminathan Ali Burak Ünal Mete Akgün 45 2 0 21 Oct 2024
Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning Minkwon Lee Hyoil Kim Changhee Joo FedML OOD 46 0 0 21 Oct 2024
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation Victor Junqiu Wei Weicheng Wang Di Jiang Conghui Tan Rongzhong Lian MoMe 98 0 0 21 Oct 2024
Neural Search Space in Gboard Decoder Yanxiang Zhang Yuanbo Zhang Haicheng Sun Yun Wang Billy Dou Gary Sivek Shumin Zhai 114 0 0 21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 296 1 0 21 Oct 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 79 0 0 21 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 107 1 0 20 Oct 2024
Tighter Performance Theory of FedExProx Wojciech Anyszka Kaja Gruntkowska Alexander Tyurin Peter Richtárik FedML 57 0 0 20 Oct 2024
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning Ketin Yin Zonghao Guo ZhengHan Qin FedML 57 0 0 19 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 89 0 0 19 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 75 0 0 18 Oct 2024
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery Enneng Yang Li Shen Zhenyi Wang G. Guo Xingwei Wang Xiaocun Cao Jie Zhang Dacheng Tao MoMe 93 7 0 18 Oct 2024
Comparative Evaluation of Clustered Federated Learning Methods Michael Ben Ali Omar El-Rifai Imen Megdiche André Peninou Olivier Teste FedML 73 0 0 18 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning Brianna Mueller W. Street Stephen Seung-Yeob Baek Qihang Lin Jingyi Yang Yankun Huang 82 0 0 17 Oct 2024