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
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks Yan zhu Jingyang Zhu Ting Wang Yuanming Shi Chunxiao Jiang Khaled B. Letaief 37 0 0 14 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP L. Zhang Yue Li AI4CE 35 1 0 13 Apr 2025
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding Yasar Abbas Ur Rehman Kin Wai Lau Yuyang Xie Ma Lan Jiajun Shen 34 0 0 13 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 38 0 0 12 Apr 2025
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning Yan-Ann Chen Guan-Lin Chen FedML 61 0 0 11 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations Mahshad Lotfinia Arash Tayebiarasteh Samaneh Samiei Mehdi Joodaki Soroosh Tayebi Arasteh 35 0 0 11 Apr 2025
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 54 0 0 09 Apr 2025
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis Shahryar Zehtabi Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton FedML AI4CE 50 0 0 08 Apr 2025
Dion: Distributed Orthonormalized Updates Kwangjun Ahn Byron Xu Natalie Abreu John Langford 47 0 0 07 Apr 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 49 0 0 07 Apr 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing Ming-Lun Lee Han-Chang Chou Yan-AnnChen FedML 36 6 0 07 Apr 2025
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 38 0 0 06 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Hengrui Hu Anai N. Kothari Anjishnu Banerjee FedML 43 0 0 06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 41 0 0 05 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning Tijana Milentijević Mélanie Cambus Darya Melnyk Stefan Schmid FedML 52 0 0 02 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 47 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 64 0 0 01 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yong Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 51 0 0 31 Mar 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 43 0 0 31 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 48 0 0 30 Mar 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 52 1 0 27 Mar 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Zhilin Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 98 0 0 26 Mar 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning Bicheng Ying Zhe Li Haibo Yang FedML 71 0 0 25 Mar 2025
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 55 0 0 24 Mar 2025
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters S. Tyagi Prateek Sharma 68 0 0 21 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 85 0 0 19 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 57 0 0 19 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 42 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 41 1 0 17 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 60 0 0 13 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 67 0 0 13 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 76 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 109 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 71 0 0 12 Mar 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 45 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 157 2 0 11 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 183 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 68 0 0 10 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 68 0 0 10 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated Learning Yunfeng Li Xiaolin Li Zhitao Li Gangqiang Li FedML 63 3 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 59 0 0 09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 120 0 0 09 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 51 0 0 08 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 56 0 0 08 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 57 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 55 0 0 06 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 77 0 0 06 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 97 0 0 06 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yong-Jin Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025