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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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Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces Tianwang Jia Lubin Meng Siyang Li Jiajing Liu Dongrui Wu 207 4 0 02 Dec 2024
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 135 1 0 01 Dec 2024
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Yuxin Tian Mouxing Yang Yuhao Zhou Jian Wang Qing Ye Tongliang Liu Gang Niu Jiancheng Lv FedML 159 0 0 30 Nov 2024
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Yingchao Wang Wenqi Niu 137 0 0 30 Nov 2024
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications Navid Salami Pargoo Mahshid Ghasemi Shuren Xia Mehmet Kerem Turkcan Taqiya Ehsan ... Yuan Sun Javad Ghaderi Gil Zussman Z. Kostić Jorge Ortiz 145 2 0 29 Nov 2024
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation Siqing Zhang Yuchen Ding Wei Tang Wei Sun Yong Liao P. Zhou 110 0 0 29 Nov 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 113 0 0 29 Nov 2024
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt SILM 202 6 0 28 Nov 2024
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 150 0 0 28 Nov 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 222 1 0 28 Nov 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Jian Hou Shuiguang Deng 190 3 0 28 Nov 2024
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization Shivam Pal Aishwarya Gupta Saqib Sarwar Piyush Rai FedML 129 0 0 27 Nov 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 157 7 0 27 Nov 2024
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning Allan M. de Souza Filipe Maciel Joahannes B. D. da Costa L. Bittencourt E. Cerqueira A. A. F. Loureiro Leandro A. Villas FedML 164 20 0 26 Nov 2024
Distributed Sign Momentum with Local Steps for Training Transformers Shuhua Yu Ding Zhou Cong Xie An Xu Zhi-Li Zhang Xin Liu S. Kar 152 0 0 26 Nov 2024
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 200 2 0 26 Nov 2024
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 135 0 0 25 Nov 2024
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment Luca Colombo Alessandro Falcetta Manuel Roveri FedML 191 4 0 25 Nov 2024
Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation XiaoKai Cao WenJin Mo Changdong Wang JianHuang Lai Qiong Huang 81 0 0 25 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 168 1 0 25 Nov 2024
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Xingshuo Han Xuanye Zhang Xiang Lan Haozhao Wang Shengmin Xu Shen Ren Jason Zeng Ming Wu Michael Heinrich Tianwei Zhang FedML 92 1 0 25 Nov 2024
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation Jiawen Weng Zeke Xia Ran Li Ming Hu Mingsong Chen FedML 120 0 0 24 Nov 2024
Modality Alignment Meets Federated Broadcasting Yuting Ma Shengeng Tang Xiaohua Xu Lechao Cheng 138 1 0 24 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 144 1 0 24 Nov 2024
Energy-efficient Federated Learning with Dynamic Model Size Allocation M S Chaitanya Kumar S. Jindal Yunkai Bao Xin Wang Steve Drew 149 0 0 23 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 191 0 0 23 Nov 2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 183 0 0 23 Nov 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 158 1 0 22 Nov 2024
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition Rastko Gajanin Anastasiya Danilenka Andrea Morichetta Stefan Nastic 194 2 0 21 Nov 2024
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting Qingxiang Liu Sheng Sun Yuxuan Liang Xiaolong Xu Min Liu Muhammad Bilal Yuwei Wang Xujing Li Yu Zheng 89 1 0 21 Nov 2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles Yijun Zhai Pengzhan Zhou Yuepeng He Fang Qu Zhida Qin Xianlong Jiao Guiyan Liu Songtao Guo 128 0 0 21 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 603 1 0 19 Nov 2024
A Potential Game Perspective in Federated Learning Kang Liu Ziqi Wang Enrique Zuazua FedML 115 0 0 18 Nov 2024
Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation Kürşat Tekbıyık Gunes Karabulut Kurt Antoine Lesage-Landry 52 1 0 17 Nov 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 72 2 0 17 Nov 2024
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method Yu Jiang Chee Wei Tan K. Lam FedML MU 97 2 0 17 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams Zixian Su Jingwei Guo Xi Yang Qiufeng Wang K. Huang TTA 170 0 0 16 Nov 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution Jinbo Wang Ruijin Wang Fengli Zhang FedML AAML 75 0 0 16 Nov 2024
Evidential Federated Learning for Skin Lesion Image Classification Rutger Hendrix Federica Proietto Salanitri C. Spampinato S. Palazzo Ulas Bagci VLM FedML 45 0 0 15 Nov 2024
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 108 0 0 15 Nov 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning Luca Palazzo M. Pennisi Federica Proietto Salanitri Giovanni Bellitto S. Palazzo C. Spampinato FedML 61 0 0 14 Nov 2024
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems M. Campana Franca Delmastro 51 0 0 13 Nov 2024
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 65 3 0 13 Nov 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients Satish Kumar Keshri Nazreen Shah Ranjitha Prasad FedML 193 0 0 12 Nov 2024
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation Liang Zhao Shenglin Geng Xiongyan Tang Ammar Hawbani Yunhe Sun Lexi Xu Daniele Tarchi 62 1 0 12 Nov 2024
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective Raed Al Kontar FedML 103 1 0 12 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang Chong Chen Bill Lin 98 1 0 11 Nov 2024
Differentially-Private Collaborative Online Personalized Mean Estimation Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer FedML 91 1 0 11 Nov 2024
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han Lulu Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Yuxiang Cai FedML 81 0 0 11 Nov 2024
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks Lu Yu Zheng Chang Yunjian Jia Geyong Min 73 1 0 11 Nov 2024