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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
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 123 2 0 10 Mar 2025
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates Sangwoo Park Seanie Lee Byungjoo Kim Sung Ju Hwang FedML 82 1 0 10 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 109 0 0 10 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model Shihao Hou Xinyi Shang Shreyank N Gowda Yang Lu Chao-Xiang Wu Yan Yan Hanzi Wang VLM 103 0 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 107 2 0 10 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 109 0 0 10 Mar 2025
Personalized Convolutional Dictionary Learning of Physiological Time Series Axel Roques Samuel Gruffaz Kyurae Kim Alain Durmus Laurent Oudre 84 0 0 10 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 502 5 0 10 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 267 0 0 09 Mar 2025
Federated Learning for Diffusion Models Zihao Peng Xijun Wang Shengbo Chen Hong Rao Cong Shen DiffM FedML 115 0 0 09 Mar 2025
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation Chengcheng Zhu J. Zhang Di Wu Guodong Long AAML FedML 92 0 0 09 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning Yu Zhou Bingyan Liu FedML OOD TTA 137 1 0 09 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated Learning Yunfeng Li Xiaolin Li Zhitao Li Gangqiang Li FedML 120 3 0 09 Mar 2025
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast Yiting Zheng Bohan Lin Jinqian Chen Jihua Zhu FedML 68 0 0 09 Mar 2025
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation Kuanghong Liu Jin Wang Kangjian He Dan Xu Xuejie Zhang 134 0 0 08 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 99 0 0 08 Mar 2025
Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security Zifan Zhang Minghong Fang Dianwei Chen Xianfeng Terry Yang Yuchen Liu 82 0 0 08 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 78 0 0 08 Mar 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 137 0 0 08 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 87 1 0 07 Mar 2025
FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data Wenhao Wang Zijie Yu Guangyi Liu J.N. Zhang Tian Jin Yanfeng Wang FedML 104 1 0 07 Mar 2025
Uncertainty-Aware Explainable Federated Learning Yanci Zhang Han Yu 119 0 0 07 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 107 1 0 06 Mar 2025
InFL-UX: A Toolkit for Web-Based Interactive Federated Learning Tim Maurer Abdulrahman Mohamed Selim Hasan Md Tusfiqur Alam Matthias Eiletz Michael Barz Daniel Sonntag FedML 135 0 0 06 Mar 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 145 1 0 06 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 176 0 0 06 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 100 1 0 06 Mar 2025
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks Handi Chen Rui Zhou Yun-Hin Chan Zhihan Jiang Xianhao Chen Edith C.H. Ngai 118 2 0 06 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 157 3 0 06 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model Wenke Huang Jian Liang Xianda Guo Yiyang Fang Guancheng Wan ... Bin Yang He Li Jiawei Shao Mang Ye Di Lin OffRL LRM MLLM KELM VLM 161 4 0 06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 120 0 0 06 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yang Liu Meng Sun FedML AAML 110 0 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 116 0 0 05 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 129 0 0 05 Mar 2025
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion Gaurang Sharma Elaheh Moradi Juha Pajula Mika Hilvo Jussi Tohka 100 0 0 05 Mar 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis Jinwoo Lim Suhyun Kim Soo-Mook Moon FedML 121 0 0 05 Mar 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis Yanfei Li Teng Yin Wenyi Shang Jing Liu Xi Wang Kaiyang Zhao MedIm 82 1 0 05 Mar 2025
FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint Verification Ziyuan Yang Yingyu Chen Chengrui Gao Andrew Beng Jin Teoh Bob Zhang Yi Zhang FedML 91 0 0 05 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA Jie Hao Yuman Wu Ali Payani Myungjin Lee Mingrui Liu 126 2 0 05 Mar 2025
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent Systems Jakob Weber Markus Gurtner Benedikt Alt Adrian Trachte Andreas Kugi 143 0 0 04 Mar 2025
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation Grzegorz Skorupko Fotios Avgoustidis Carlos Martín-Isla Lidia Garrucho Dimitri A. Kessler ... Katarzyna Gwo'zdziewicz Xavier Bargalló Paulius Jaruševičius Kaisar Kushibar Karim Lekadir FedML 173 0 0 04 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models Sheng Yue Zerui Qin Yongheng Deng Ju Ren Yaoxue Zhang Junshan Zhang FedML 141 0 0 04 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Hui Yuan Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 132 0 0 03 Mar 2025
GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva Ivo Petrov Maximilian Baader Dimitar I. Dimitrov Martin Vechev FedML 130 0 0 03 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 84 0 0 03 Mar 2025
FLAME: A Federated Learning Benchmark for Robotic Manipulation Santiago Bou Betran Alberta Longhini Miguel Vasco Yuchong Zhang Jens Lundell 111 0 0 03 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 112 3 0 03 Mar 2025
Federated Learning Framework via Distributed Mutual Learning Yash Gupta FedML 55 0 0 03 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 126 1 0 03 Mar 2025
Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model Ziyuan Yang Yingyu Chen Ziyi Wang Hongming Shan Yang Chen Yi Zhang 93 2 0 02 Mar 2025