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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
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 100 0 0 10 Nov 2024
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning Sarang Galada Tanurima Halder Kunal Deo Ram P Krish Kshitij Jadhav 46 0 0 10 Nov 2024
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling Andreas Athanasiou Kangsoo Jung C. Palamidessi FedML 107 1 0 10 Nov 2024
Client Contribution Normalization for Enhanced Federated Learning Mayank Kumar Kundalwal Anurag Saraswat Ishan Mishra Deepak Mishra FedML 71 0 0 10 Nov 2024
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks Wenbo Wu Cheng Tan Kangcheng Yang Zhishu Shen Qiushi Zheng Jiong Jin FedML 55 0 0 09 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 103 0 0 09 Nov 2024
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement Jiechao Gao Yuangang Li Syeda Faiza Ahmed 62 2 0 07 Nov 2024
Personalized Federated Learning for Cross-view Geo-localization Christos Anagnostopoulos Alexandros Gkillas Nikos Piperigkos Aris Lalos FedML 72 0 0 07 Nov 2024
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation Liangrui Pan Mao Huang Lian-min Wang Pinle Qin Shaoliang Peng FedML 64 2 0 07 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 265 3 0 07 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 72 1 0 06 Nov 2024
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis Alexandros Gkillas Aris Lalos 78 1 0 06 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 75 0 0 06 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 137 0 0 06 Nov 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 88 0 0 06 Nov 2024
Adaptive Consensus Gradients Aggregation for Scaled Distributed Training Yoni Choukroun Shlomi Azoulay P. Kisilev 95 0 0 06 Nov 2024
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation Peng Wang Bochao Liu Weijia Guo Yong Li Shiming Ge FedML 60 0 0 06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 98 0 0 06 Nov 2024
Federated Data-Driven Kalman Filtering for State Estimation Nikos Piperigkos Alexandros Gkillas Christos Anagnostopoulos Aris Lalos 77 1 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 68 0 0 05 Nov 2024
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses Isaac Baglin Xiatian Zhu Simon Hadfield FedML 114 1 0 05 Nov 2024
Photon: Federated LLM Pre-Training Lorenzo Sani Alex Iacob Zeyu Cao Royson Lee Bill Marino ... Dongqi Cai Zexi Li Wanru Zhao Xinchi Qiu Nicholas D. Lane AI4CE 92 9 0 05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 69 0 0 05 Nov 2024
ATM: Improving Model Merging by Alternating Tuning and Merging Luca Zhou Daniele Solombrino Donato Crisostomi Maria Sofia Bucarelli Fabrizio Silvestri Emanuele Rodolà MoMe 159 5 0 05 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 63 0 0 04 Nov 2024
FedPID: An Aggregation Method for Federated Learning Leon Mächler Gustav Grimberg Ivan Ezhov Manuel Nickel Suprosanna Shit David Naccache Johannes C. Paetzold FedML 49 0 0 04 Nov 2024
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation Ziwei Zhan Wenkuan Zhao Yuanqing Li Weijie Liu Xiaoxi Zhang Chee Wei Tan Chuan Wu Deke Guo Xu Chen MoE 113 2 0 04 Nov 2024
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning Zhuoning Guo Ruiqian Han Hao Liu FedML 104 0 0 04 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 71 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 127 1 0 04 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 68 0 0 04 Nov 2024
Automatic Structured Pruning for Efficient Architecture in Federated Learning Thai Vu Nguyen Long Bao Le Anderson Avila FedML 47 0 0 04 Nov 2024
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 99 12 0 03 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 122 11 0 03 Nov 2024
Efficient and Robust Regularized Federated Recommendation Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 117 3 0 03 Nov 2024
Anomalous Client Detection in Federated Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino FedML 48 0 0 03 Nov 2024
Federated Learning Clients Clustering with Adaptation to Data Drifts Minghao Li Dmitrii Avdiukhin Rana Shahout Nikita Ivkin Vladimir Braverman Minlan Yu FedML 82 0 0 03 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 78 2 0 02 Nov 2024
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks Sushilkumar Yadav Irem Bor-Yaliniz 67 0 0 01 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 130 1 0 01 Nov 2024
Federated Voxel Scene Graph for Intracranial Hemorrhage Antoine Pierre Sanner J. Stieber Nils F. Grauhan Suam Kim Marc A. Brockmann Ahmed Othman Anirban Mukhopadhyay FedML MedIm 95 0 0 01 Nov 2024
ROSS:RObust decentralized Stochastic learning based on Shapley values Lina Wang Yunsheng Yuan Feng Li Lingjie Duan FedML 92 0 0 01 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation Connor Mclaughlin Lili Su FedML OOD 119 5 0 01 Nov 2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations Grace Kim Luca Powell F. Svoboda Nicholas D. Lane FedML 40 0 0 31 Oct 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 78 1 0 31 Oct 2024
On Sampling Strategies for Spectral Model Sharding Denis Korzhenkov Christos Louizos FedML 71 0 0 31 Oct 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen Meirui Jiang Xin Zhang Qi Dou Zehua Wang Xiaoxiao Li MoMe FedML 133 3 0 31 Oct 2024
Biologically-Inspired Technologies: Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins Chen Shang Jiadong Yu Dinh Thai Hoang 69 0 0 31 Oct 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 99 0 0 31 Oct 2024
Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions Gajan Mohan Raj Michael G. Morley Mohammad Eslami FedML MedIm 20 0 0 30 Oct 2024