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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Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction Thalita Mendonça Antico Larissa F. Rodrigues Moreira Rodrigo Moreira 108 24 0 10 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Zehao Wang AI4CE 125 0 0 10 Dec 2024
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 95 1 0 05 Dec 2024
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications Navid Salami Pargoo Mahshid Ghasemi Shuren Xia Mehmet Kerem Turkcan Taqiya Ehsan ... Yuan Sun Javad Ghaderi Gil Zussman Z. Kostić Jorge Ortiz 82 2 0 29 Nov 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 96 1 0 28 Nov 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Jian Hou Shuiguang Deng 85 2 0 28 Nov 2024
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 107 1 0 26 Nov 2024
Distributed Sign Momentum with Local Steps for Training Transformers Shuhua Yu Ding Zhou Cong Xie An Xu Zhi-Li Zhang Xin Liu S. Kar 76 0 0 26 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 89 1 0 25 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 83 0 0 23 Nov 2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 105 0 0 23 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 270 1 0 19 Nov 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients Satish Kumar Keshri Nazreen Shah Ranjitha Prasad FedML 38 0 0 12 Nov 2024
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization Yang Su Na Yan Yansha Deng Mischa Dohler Robert Schober 37 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 28 0 0 09 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 28 0 0 09 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 30 1 0 07 Nov 2024
Federated Data-Driven Kalman Filtering for State Estimation Nikos Piperigkos Alexandros Gkillas Christos Anagnostopoulos Aris Lalos 28 1 0 06 Nov 2024
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses Isaac Baglin Xiatian Zhu Simon Hadfield FedML 32 1 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 52 5 0 05 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 47 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 32 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 33 0 0 04 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 39 2 0 02 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 77 1 0 01 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 54 0 0 31 Oct 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 56 1 0 28 Oct 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Yuante Li FedML 55 0 0 28 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Qiqi Liu Qicheng Lao Han Yu FedML 36 3 0 25 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 79 2 0 24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 44 2 0 23 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 71 1 0 21 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül Rajgopal Kannan Viktor Prasanna FedML 29 0 0 17 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 33 0 0 17 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 27 1 0 16 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Guangyi Liu Fengting Yuchi W. Zhao Jingjing Qu Yunhong Wang Siheng Chen ALM FedML 61 0 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Chong Chen Shandong Wu FedML VLM MoE 57 3 0 14 Oct 2024
Efficient Federated Unlearning under Plausible Deniability Ayush K. Varshney V. Torra MU 40 3 0 13 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 34 3 0 12 Oct 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Jiamu Zheng Jinghuai Zhang Tianyu Du Xuhong Zhang Jianwei Yin Tao Lin KELM 40 0 0 12 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 38 0 0 11 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 35 0 0 11 Oct 2024
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning Chao Feng Hongjie Guan Alberto Huertas Celdrán Jan von der Assen Gérome Bovet Burkhard Stiller FedML 43 1 0 10 Oct 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 29 0 0 10 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 47 1 0 09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 26 0 0 09 Oct 2024
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 46 0 0 08 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 34 0 0 07 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 38 0 0 07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models Alex Iacob Lorenzo Sani Meghdad Kurmanji William F. Shen Xinchi Qiu Dongqi Cai Yan Gao Nicholas D. Lane VLM 233 0 0 07 Oct 2024