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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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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
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search Yu Feng Puzhen Zhang Guohui Xiao Linfang Ding Liqiu Meng AI4CE 115 0 0 18 Mar 2025
Trading-off Accuracy and Communication Cost in Federated Learning Mattia Jacopo Villani Emanuele Natale Frederik Mallmann-Trenn FedML 126 0 0 18 Mar 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 143 0 0 18 Mar 2025
Federated Continual Instruction Tuning Haiyang Guo Fanhu Zeng Fei Zhu Wenzhuo Liu Da-Han Wang Jian Xu Xu-Yao Zhang Cheng-Lin Liu CLL FedML 185 2 0 17 Mar 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 112 1 0 17 Mar 2025
Federated Learning with Domain Shift Eraser Zehua Wang Zihui Wang Ziyi Wang Xiaoliang Fan Cheng-Yu Wang FedML 96 0 0 17 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Nir Shlezinger Kobi Cohen FedML 104 0 0 17 Mar 2025
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution Ali Mollaahmadi Dehaghi Hossein KhademSohi Reza Razavi Steve Drew Mohammad Moshirpour FedML 114 0 0 17 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 92 3 0 17 Mar 2025
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems Patrick Hytla Tran T. A. Nghia Duy Nhat Phan Andrew Rice FedML 83 0 0 17 Mar 2025
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design Mingzhu Wu Jianan Jiang Xinglin Li Hanhui Deng Di Wu FedML 138 0 0 16 Mar 2025
MoECollab: Democratizing LLM Development Through Collaborative Mixture of Experts Harshit MoE 66 0 0 16 Mar 2025
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Xinghao Wu Jianwei Niu Xuefeng Liu Guogang Zhu Jiayuan Zhang Shaojie Tang 99 0 0 16 Mar 2025
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing Martino Chiarani Swastika Roy C. Verikoukis Fabrizio Granelli 113 1 0 16 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 178 3 0 16 Mar 2025
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification Yan Jiang Hao Yu Xu Cheng Haoyu Chen Zhaodong Sun Guoying Zhao 79 1 0 15 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 82 0 0 15 Mar 2025
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework Ertuğrul Keçeci Müjde Güzelkaya Tufan Kumbasar FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 183 0 0 15 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Zhanting Zhou Haicheng Liao Zhijiang Guo Li Li Chengzhong Xu FedML 164 5 0 15 Mar 2025
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng M. Paul Laiu Thomas Strohmer FedML 86 0 0 14 Mar 2025
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors Hilal Asi Vitaly Feldman Hannah Keller G. Rothblum Kunal Talwar FedML 124 1 0 14 Mar 2025
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection Long Tan Le Tung Nguyen Han Shu Suranga Seneviratne Choong Seon Hong Nguyen Tran 105 0 0 14 Mar 2025
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Jihyun Lim Junhyuk Jo Tuo Zhang Salman Avestimehr Sunwoo Lee FedML 83 1 0 14 Mar 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA Jieming Bian Lei Wang Letian Zhang Jie Xu 114 3 0 14 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 333 0 0 13 Mar 2025
Byzantine-Resilient Federated Learning via Distributed Optimization Yufei Xia Wenrui Yu Qiongxiu Li AAML 80 0 0 13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 161 0 0 13 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification Barış Büyüktaş Gencer Sumbul Begüm Demir 117 1 0 13 Mar 2025
Incentive Analysis for Agent Participation in Federated Learning Lihui Yi Xiaochun Niu Ermin Wei FedML 83 0 0 13 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective Yunjie Fang Sheng Wu Tao Yang X. Wu Bo Hu FedML 141 0 0 13 Mar 2025
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling Ali Abedi Qiang Wu Ning Zhang Farhad Pourpanah FedML 118 0 0 13 Mar 2025
PluralLLM: Pluralistic Alignment in LLMs via Federated Learning Mahmoud Srewa Tianyu Zhao Salma Elmalaki FedML 95 1 0 13 Mar 2025
Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout Shilong Wang Jianchun Liu Hongli Xu Jiaming Yan Xianjun Gao 147 1 0 13 Mar 2025
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis Nannan Wu Zengqiang Yan Nong Sang Li Yu Chang Wen Chen 66 0 0 13 Mar 2025
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Zachary B. Charles Gabriel Teston Lucio Dery Keith Rush Nova Fallen Zachary Garrett Arthur Szlam Arthur Douillard 467 6 0 12 Mar 2025
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching Nannan Wu Zhuo Kuang Zengqiang Yan Ping Wang Li Yu FedML 93 0 0 12 Mar 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning Daoyuan Li Zuyuan Yang Shengli Xie FedML 107 0 0 12 Mar 2025
You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector Bowen Tian Zhengyang Xu Mingqiang Wu Songning Lai Yutai Yue AAML 39 0 0 12 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 102 2 0 12 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 189 1 0 12 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 178 1 0 12 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 204 0 0 12 Mar 2025
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 111 0 0 12 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition Wei Chen Qiang Qiu FedML 122 0 0 11 Mar 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 101 0 0 11 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 249 2 0 11 Mar 2025
Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data Lele Qi Mengna Liu Xu Cheng Fan Shi Xiufeng Liu Shengyong Chen 82 0 0 11 Mar 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 148 1 0 11 Mar 2025
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation Mingkang Zhu Xi Chen Ziyi Wang Bei Yu Hengshuang Zhao Jiaya Jia MoMe 93 0 0 11 Mar 2025