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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
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 78 0 0 01 Apr 2025
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization Haonan Wang Ziqiang Liu Kajimusugura Hoshino Tuo Zhang J. Walters S. Crago 104 0 0 01 Apr 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving Hyoungwook Jin Yoonsu Kim Dongyun Jung Seungju Kim Kiyoon Choi J. Son Juho Kim LRM 132 5 0 01 Apr 2025
Personalized Federated Training of Diffusion Models with Privacy Guarantees Kumar Kshitij Patel Weitong Zhang Lingxiao Wang MedIm 107 0 0 01 Apr 2025
Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options Enrico Sorbera Federica Zanetti Giacomo Brandi Alessandro Tomasi Roberto Doriguzzi-Corin Silvio Ranise FedML 75 1 0 01 Apr 2025
Global Intervention and Distillation for Federated Out-of-Distribution Generalization Zhuang Qi Runhui Zhang Lei Meng Wei Wu Yachong Zhang Xiangxu Meng FedML 137 1 0 01 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 124 0 0 31 Mar 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yongqian Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 147 1 0 31 Mar 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering Yunan Wei Shengnan Zhao Chuan Zhao Zhe Liu Zhenxiang Chen Minghao Zhao FedML 89 0 0 30 Mar 2025
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks Xingyu Lyu Ning Wang Yang Xiao Shixiong Li Tao Li Danjue Chen Yimin Chen AAML FedML 91 0 0 30 Mar 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 94 0 0 30 Mar 2025
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation Kanishka Ranaweera Azadeh Ghari Neiat Xiao Liu Bipasha Kashyap P. Pathirana FedML 101 0 0 29 Mar 2025
Federated Intrusion Detection System Based on Unsupervised Machine Learning Maxime Gourceyraud Rim Ben Salem Christopher Neal Frédéric Cuppens Nora Boulahia-Cuppens 60 1 0 28 Mar 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 85 0 0 28 Mar 2025
Model Assembly Learning with Heterogeneous Layer Weight Merging Yi-Kai Zhang Jin Wang Xu-Xiang Zhong De-Chuan Zhan Han-Jia Ye MoMe 105 0 0 27 Mar 2025
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning Karlo Palenzuela Ali Dadras A. Yurtsever Tommy Löfstedt FedML 120 0 0 27 Mar 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 116 1 0 27 Mar 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 73 0 0 27 Mar 2025
Federated Learning with Differential Privacy: An Utility-Enhanced Approach Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 95 0 0 27 Mar 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 181 1 0 27 Mar 2025
ProFed: a Benchmark for Proximity-based non-IID Federated Learning D. Domini G. Aguzzi Mirko Viroli FedML OOD 105 1 0 26 Mar 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Ziyi Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 121 0 0 26 Mar 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 158 0 0 26 Mar 2025
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models Caspar Meijer Jiyue Huang Shreshtha Sharma Elena Lazovik Lydia Y. Chen AI4TS 79 0 0 26 Mar 2025
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework Usama Zafar André Teixeira Salman Toor FedML AAML 104 1 0 26 Mar 2025
FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments Sree Bhargavi Balija FedML 92 0 0 25 Mar 2025
Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks Zubair Shaban Nazreen Shah Ranjitha Prasad 78 0 0 25 Mar 2025
Data-centric Federated Graph Learning with Large Language Models Bo Yan Zhongjian Zhang Huabin Sun Mengmei Zhang Yang Cao C. Shi FedML 105 0 0 25 Mar 2025
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception Xiaohe Li Haohua Wu Jiahao Li Zide Fan Kaixin Zhang Xinming Li Yunping Ge Xinyu Zhao 84 1 0 25 Mar 2025
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 124 0 0 24 Mar 2025
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation Ziqiao Weng Weidong (Tom) Cai Bo Zhou 124 0 0 23 Mar 2025
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL Xiaoming Qi Jingyang Zhang Huazhu Fu Guanyu Yang Shuo Li Yueming Jin FedML 118 0 0 23 Mar 2025
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving Yanan Ma Senkang Hu Zhengru Fang Yun Ji Yiqin Deng Yuguang Fang 94 0 0 22 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Lulu Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 117 1 0 21 Mar 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning Daniel Gutiérrez Mehrdad Hassanzadeh Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti 88 0 0 21 Mar 2025
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters S. Tyagi Prateek Sharma 143 0 0 21 Mar 2025
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data Jie Liu Yun Wang FedML 141 0 0 20 Mar 2025
Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising Yinchi Zhou Huidong Xie Menghua Xia Qiong Liu Bo Zhou ... Biao Li Axel Rominger Kuangyu Shi Nicha C. Dvorneka Chi Liu FedML MedIm 89 0 0 20 Mar 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 77 0 0 20 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 116 0 0 20 Mar 2025
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation Yuxin Miao Xinyuan Yang Hongda Fan Yichun Li Yishu Hong Xiechen Guo Ali Braytee Weidong Huang Ali Anaissi FedML 76 0 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 128 0 0 19 Mar 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices Yunlong Mao Mingyang Niu Ziqin Dang Chengxi Li Hanning Xia Yuejuan Zhu Haoyu Bian Yuan Zhang Jingyu Hua Sheng Zhong FedML 99 0 0 19 Mar 2025
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection William Marfo Deepak K. Tosh Shirley V. Moore Joshua D. Suetterlein Joseph Manzano 168 0 0 19 Mar 2025
UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework Yang Li Soumya Snigdha Kundu Maxence Boels Toktam Mahmoodi Sebastien Ourselin Tom Vercauteren Prokar Dasgupta J. Shapey Alejandro Granados FedML 66 0 0 19 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 124 1 0 19 Mar 2025
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices Ziyi Wang Yexiao He Zheyu Shen Yu Li Guoheng Sun Myungjin Lee Ang Li 94 0 0 19 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 152 0 0 19 Mar 2025
Federated Continual 3D Segmentation With Single-round Communication Can Peng Qianhui Men Pramit Saha Qianye Yang Cheng Ouyang J. A. Noble FedML 83 0 0 19 Mar 2025
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 118 0 0 19 Mar 2025