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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Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 29 6 0 12 Dec 2023
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 45 32 0 11 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 34 4 0 11 Dec 2023
Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework Zhilin Du Haozhen Li Zhenyu Liu Shilong Fan Xinyu Gu Lin Zhang DiffM 37 1 0 10 Dec 2023
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer Yongheng Deng Ziqing Qiao Ju Ren Yang Liu Yaoxue Zhang 35 11 0 10 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 28 32 0 10 Dec 2023
Train ñ Trade: Foundations of Parameter Markets Tzu-Heng Huang Harit Vishwakarma Frederic Sala AIFin 37 2 0 07 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 41 7 0 07 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 38 20 0 07 Dec 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance Haichao Sha Ruixuan Liu Yi-xiao Liu Hong Chen 57 1 0 06 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 38 2 0 05 Dec 2023
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets Shashi Raj Pandey Pierre Pinson P. Popovski 45 0 0 05 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 33 12 0 05 Dec 2023
Orthogonal Adaptation for Modular Customization of Diffusion Models Ryan Po Guandao Yang Kfir Aberman Gordon Wetzstein DiffM 33 26 0 05 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 43 3 0 05 Dec 2023
Federated Learning is Better with Non-Homomorphic Encryption Konstantin Burlachenko Abdulmajeed Alrowithi Fahad Ali Albalawi Peter Richtárik FedML 54 6 0 04 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 57 1 0 30 Nov 2023
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 44 2 0 30 Nov 2023
CommunityAI: Towards Community-based Federated Learning Ilir Murturi Praveen Kumar Donta Schahram Dustdar FedML 35 1 0 29 Nov 2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 23 2 0 28 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent Them Minbiao Han Kumar Kshitij Patel Han Shao Lingxiao Wang FedML 45 3 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 58 19 0 27 Nov 2023
Using Decentralized Aggregation for Federated Learning with Differential Privacy H. Saleh Y. El-Sonbaty Ana Fernández Vilas M. Fernández-Veiga Nashwa El-Bendary FedML 29 3 0 27 Nov 2023
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 40 7 0 24 Nov 2023
Prototype of deployment of Federated Learning with IoT devices Pablo García Santaclara Ana Fernández-Vilas R. Redondo 28 10 0 24 Nov 2023
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems Chentao Jia Ming Hu Zekai Chen Yanxin Yang Xiaofei Xie Yang Liu Mingsong Chen 39 7 0 22 Nov 2023
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 45 0 0 21 Nov 2023
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Yang Li Chunhe Xia Wei Liu 48 0 0 21 Nov 2023
Energizing Federated Learning via Filter-Aware Attention Ziyuan Yang Zerui Shao Huijie Huangfu Hui Yu Andrew Beng Jin Teoh Xiaoxiao Li Hongming Shan Yi Zhang FedML 48 0 0 18 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 59 1 0 16 Nov 2023
Federated Learning for Sparse Principal Component Analysis Sin Cheng Ciou Pin-Jui Chen Elvin Y. Tseng Yuh-Jye Lee FedML 31 0 0 15 Nov 2023
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups João Paulo de Brito Gonçalves Guilherme Emerick Sathler R. Villaça FedML 13 0 0 14 Nov 2023
Compressed and Sparse Models for Non-Convex Decentralized Learning Andrew Campbell Hang Liu Leah Woldemariam Anna Scaglione 28 0 0 09 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Blind Federated Learning via Over-the-Air q-QAM Saeed Razavikia José Hélio da Cruz Júnior Carlo Fischione 50 4 0 07 Nov 2023
Distributed Agent-Based Collaborative Learning in Cross-Individual Wearable Sensor-Based Human Activity Recognition Ahmad Esmaeili Zahra Ghorrati Eric T. Matson 26 0 0 06 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 40 1 0 02 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Jianing Zhang Christopher G. Brinton Jaekyun Moon OOD FedML 50 15 0 01 Nov 2023
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 110 10 0 31 Oct 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection Shuli Jiang Pranay Sharma Gauri Joshi 48 1 0 29 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 38 0 0 29 Oct 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 18 1 0 27 Oct 2023
EcoLearn: Optimizing the Carbon Footprint of Federated Learning Talha Mehboob Noman Bashir Jesus Omana Iglesias Michael Zink David Irwin 41 0 0 27 Oct 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 36 4 0 26 Oct 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing Terence Jie Chua Wen-li Yu Junfeng Zhao Kwok-Yan Lam FedML 32 5 0 26 Oct 2023
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory Haifeng Wen Hong Xing Osvaldo Simeone 45 0 0 25 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 49 10 0 24 Oct 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation Y. Huang Wanqing Xie Mingzhen Li Mingmei Cheng Jinzhou Wu Weixiao Wang Jane You Xiaofeng Liu FedML 36 3 0 23 Oct 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 37 3 0 23 Oct 2023