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
Stable Nonconvex-Nonconcave Training via Linear Interpolation Thomas Pethick Wanyun Xie V. Cevher 40 5 0 20 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 38 21 0 20 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 26 7 0 19 Oct 2023
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation Bo Yan Yang Cao Haoyu Wang Wenchuan Yang Junping Du Chuan Shi FedML 24 23 0 18 Oct 2023
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization Xiao Li Wei Wu 33 0 0 14 Oct 2023
Multimodal Federated Learning in Healthcare: a Review Jacob Thrasher Alina Devkota Prasiddha Siwakotai Rohit Chivukula Pranav Poudel Chaunbo Hu Binod Bhattarai P. Gyawali 35 7 0 14 Oct 2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance Dongao Ma Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm OOD 33 8 0 14 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 34 10 0 13 Oct 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 34 2 0 13 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection Zhirui Pan Guangzhong Wang Zhaoning Li Lifeng Chen Yang Bian Zhongyuan Lai FedML 57 2 0 12 Oct 2023
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis Shuaijun Chen Omid Tavallaie Michael Henri Hambali S. M. Zandavi Hamed Haddadi Nicholas D. Lane Song Guo Albert Y. Zomaya FedML 36 1 0 12 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 18 0 0 11 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 39 10 0 11 Oct 2023
Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory Danni Yang Yun-Gyu Ji Zhoubin Kou Xiaoxiong Zhong Shenglv Zhang FedML 33 2 0 10 Oct 2023
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models Haoxiang Luo Jian Luo Athanasios V. Vasilakos 39 9 0 10 Oct 2023
Federated Multi-Level Optimization over Decentralized Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang AI4CE 28 0 0 10 Oct 2023
The Role of Federated Learning in a Wireless World with Foundation Models Zihan Chen Howard H. Yang Y. C. Tay Kai Fong Ernest Chong Tony Q.S. Quek AI4CE 40 6 0 06 Oct 2023
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios Luigi Palmieri Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti 36 6 0 04 Oct 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation Chen Dun Mirian Hipolito Garcia Guoqing Zheng Ahmed Hassan Awadallah Anastasios Kyrillidis Robert Sim 96 6 0 04 Oct 2023
Heterogeneous Federated Learning Using Knowledge Codistillation Jared Lichtarge Ehsan Amid Shankar Kumar Tien-Ju Yang Rohan Anil Rajiv Mathews FedML 44 0 0 04 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 43 8 0 03 Oct 2023
Federated Wasserstein Distance Alain Rakotomamonjy Kimia Nadjahi L. Ralaivola 26 5 0 03 Oct 2023
Intelligent Client Selection for Federated Learning using Cellular Automata Nikolaos Pavlidis V. Perifanis Theodoros Panagiotis Chatzinikolaou G. Sirakoulis P. Efraimidis 33 3 0 01 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 49 4 0 30 Sep 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Lucia Innocenti Michela Antonelli Francesco Cremonesi Kenaan Sarhan Alejandro Granados Vicky Goh Sebastien Ourselin Marco Lorenzi FedML 26 2 0 29 Sep 2023
Mode Connectivity and Data Heterogeneity of Federated Learning Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 41 3 0 29 Sep 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 32 2 0 28 Sep 2023
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving Eros Fani Marco Ciccone Barbara Caputo FedML 21 4 0 23 Sep 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 38 2 0 22 Sep 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 50 6 0 21 Sep 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 27 17 0 20 Sep 2023
Communication-Efficient Federated Learning via Regularized Sparse Random Networks Mohamad Mestoukirdi Omid Esrafilian David Gesbert Qianrui Li N. Gresset FedML 35 0 0 19 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 34 16 0 19 Sep 2023
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 50 7 0 14 Sep 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long Christos Anagnostopoulos S. P. Parambath Daning Bi AI4CE FedML 28 2 0 13 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 48 5 0 13 Sep 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory Naoki Masuyama Yusuke Nojima Y. Toda C. K. Loo H. Ishibuchi N. Kubota FedML 42 3 0 07 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy Zikai Zhang Rui Hu 41 11 0 07 Sep 2023
EdgeFL: A Lightweight Decentralized Federated Learning Framework Hongyi Zhang Jan Bosch Helena Holmström Olsson FedML 16 1 0 06 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay Atanasov Sonia Martinez 37 1 0 05 Sep 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 37 4 0 04 Sep 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization Mariam Yahya S. Maghsudi S. Stańczak 28 3 0 31 Aug 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 41 2 0 31 Aug 2023
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment Felix Wagner Zeju Li Pramit Saha Konstantinos Kamnitsas MedIm 10 4 0 31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 39 59 0 29 Aug 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 37 4 0 28 Aug 2023
LR-XFL: Logical Reasoning-based Explainable Federated Learning Yanci Zhang Hanyou Yu LRM 34 7 0 24 Aug 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang Lu Liu Youwei Ding Wanyi Lu 34 0 0 23 Aug 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation Chao Huang Geng Tian Ming Tang FedML 39 4 0 23 Aug 2023