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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 69 1 0 29 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation Huidong Tang Chen Li Huachong Yu Sayaka Kamei Yasuhiko Morimoto FedML 110 0 0 29 Sep 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan Wei Huang Ye-ling Shi FedML VLM 117 8 0 29 Sep 2024
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Rongguang Ye Shuai Wang Guangxu Zhu Yik-Chung Wu 85 6 0 29 Sep 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Zhuoning Guo Hao Liu Le Zhang Qi Zhang Hengshu Zhu Hui Xiong AI4TS FedML 145 0 0 29 Sep 2024
One Node Per User: Node-Level Federated Learning for Graph Neural Networks Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 75 0 0 29 Sep 2024
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning Zhidong Gao Zhenxiao Zhang Yu Zhang Tongnian Wang Yanmin Gong Yuanxiong Guo 109 0 0 29 Sep 2024
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning Zhidong Gao Yu Zhang Yanmin Gong Yuanxiong Guo 66 0 0 29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen 79 0 0 29 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 118 0 0 29 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 73 2 0 28 Sep 2024
Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model Frederic Adjewa Moez Esseghir Leila Merghem-Boulahia 88 8 0 28 Sep 2024
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data Chao Feng Alberto Huertas Celdrán Zien Zeng Zi Ye Jan von der Assen Gérome Bovet Burkhard Stiller AAML 65 0 0 28 Sep 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 55 0 0 28 Sep 2024
Artificial-Intelligence Generated Code Considered Harmful: A Road Map for Secure and High-Quality Code Generation Chun Jie Chong Zhihao Yao Iulian Neamtiu 65 3 0 27 Sep 2024
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 84 0 0 27 Sep 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 96 0 0 27 Sep 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data B. Das M. H. Amini Yanzhao Wu 57 0 0 27 Sep 2024
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models Yu Zhou Xingyu Wu Jibin Wu Liang Feng Kay Chen Tan MoMe 100 2 0 27 Sep 2024
Hierarchical Federated ADMM Seyed Mohammad Azimi-Abarghouyi Nicola Bastianello Karl H. Johansson Viktoria Fodor FedML 69 1 0 27 Sep 2024
An Enhanced Federated Prototype Learning Method under Domain Shift Liang Kuang Kuangpu Guo Jian Liang Jianguo Zhang FedML 85 0 0 27 Sep 2024
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting Shuowei Cai Hao Liu AI4TS 47 1 0 27 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah Vyacheslav Kungurtsev Hojin Chang Chong Chen Bill Lin FedML 71 1 0 27 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 77 7 0 27 Sep 2024
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration A. Imakura Tetsuya Sakurai FedML 52 1 0 27 Sep 2024
Realistic Evaluation of Model Merging for Compositional Generalization Derek Tam Yash Kant Brian Lester Igor Gilitschenski Colin Raffel MoMe 99 9 0 26 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 86 3 0 26 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu Yi-Ting Ma Do Young Eun FedML 103 1 0 26 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 102 5 0 26 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data Xiufang Shi Wei Zhang Mincheng Wu Guangyi Liu Z. Wen Shibo He Tejal Shah R. Ranjan DD FedML 89 1 0 26 Sep 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 85 0 0 25 Sep 2024
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 64 0 0 25 Sep 2024
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks Duong Thuy Anh Nguyen Su Wang Duong Tung Nguyen Angelia Nedich H. Vincent Poor 97 3 0 25 Sep 2024
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning Nathaniel Hudson Valérie Hayot-Sasson Y. Babuji Matt Baughman J. G. Pauloski Ryan Chard Ian Foster Kyle Chard 71 2 0 24 Sep 2024
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique Elissa Mhanna Mohamad Assaad 76 0 0 24 Sep 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 115 1 0 24 Sep 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning Chenlin Wu Xiaoyu He Zike Li Zibin Zheng Zibin Zheng FedML 169 0 0 24 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 91 0 0 24 Sep 2024
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications R. Hussain Mohsen Amini Salehi FedML 67 0 0 24 Sep 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 61 0 0 24 Sep 2024
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems Anastasiia Zakharova Dmitriy Alexandrov M. Khodorchenko N. Butakov Alexey Vasilev Maxim Savchenko Alexander Grigorievskiy FedML 79 0 0 23 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 86 0 0 23 Sep 2024
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks Omid Tavallaie Kanchana Thilakarathna Suranga Seneviratne Aruna Seneviratne Albert Y. Zomaya FedML 75 2 0 23 Sep 2024
Energy-Aware Federated Learning in Satellite Constellations N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML 66 1 0 23 Sep 2024
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning Minyeong Choe Cheolhee Park Changho Seo Hyunil Kim SILM AAML FedML 98 1 0 23 Sep 2024
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization Yuan Liu Shu Wang Zhe Qu Xingyu Li Shichao Kan Jianxin Wang FedML 69 3 0 23 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 137 0 0 23 Sep 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Jue Chen Yaochu Jin FedML 156 0 0 23 Sep 2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning Dmitry Bylinkin Kirill Degtyarev Aleksandr Beznosikov FedML 82 0 0 22 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography Raffaele Mineo Amelia Sorrenti Federica Proietto Salanitri MedIm 48 0 0 21 Sep 2024