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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pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 57 12 0 07 May 2024
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G Xiaoxue Yu Xingfu Yi Rongpeng Li Fei Wang Chenghui Peng Zhifeng Zhao Honggang Zhang 74 1 0 06 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 42 1 0 04 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 51 0 0 04 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 48 3 0 03 May 2024
Robustness of Decentralised Learning to Nodes and Data Disruption Luigi Palmieri Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti János Kertész 39 1 0 03 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 40 0 0 03 May 2024
Sequence-to-sequence models in peer-to-peer learning: A practical application Robert Šajina Ivo Ipšić 46 0 0 02 May 2024
Causal Influence in Federated Edge Inference Mert Kayaalp Yunus Inan V. Koivunen Ali H. Sayed FedML 49 1 0 02 May 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-an Su Jiaxiang Geng Liang Li Xiaoqi Qin Yanzhao Hou Xin Fu Miao Pan Miao Pan 50 1 0 01 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems Fredrik Hagström Vikas K. Garg Fabricio Oliveira AI4CE 76 0 0 01 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 56 2 0 30 Apr 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 50 14 0 29 Apr 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks Usevalad Milasheuski Bernardo Camajori Tedeschini M. Nicoli S. Savazzi OOD 25 5 0 29 Apr 2024
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data Chenghao Huang Xiaolu Chen Yanru Zhang Hao Wang FedML 43 1 0 27 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 55 0 0 27 Apr 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data Vikhyat Agrawal Sunil Vasu Kalmady Venkataseetharam Manoj Malipeddi Manisimha Manthena Weijie Sun Saiful Islam Abram Hindle Padma Kaul Russell Greiner FedML 27 5 0 26 Apr 2024
Bayesian Federated Inference for Survival Models H. Pazira Emanuele Massa Jetty AM Weijers Anthony C. C. Coolen Marianne A Jonker FedML 36 2 0 26 Apr 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 28 0 0 24 Apr 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 34 3 0 24 Apr 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering Siqi Ping Yuzhu Mao Yang Liu Xiao-Ping Zhang Wenbo Ding FedML 39 4 0 23 Apr 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction Zifan Zhang Minghong Fang Jiayuan Huang Yuchen Liu AAML 51 8 0 22 Apr 2024
Distributed Learning for Wi-Fi AP Load Prediction Dariush Salami Francesc Wilhelmi Lorenzo Galati-Giordano Mika Kasslin 34 0 0 22 Apr 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu Xunkai Li Zhengyu Wu Di Wu Miao Hu Ronghua Li FedML 34 6 0 22 Apr 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 38 0 0 22 Apr 2024
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 48 3 0 22 Apr 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 37 1 0 20 Apr 2024
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition Hengyu Mu Jian Guo Chong Han Lijuan Sun FedML 37 5 0 20 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 58 1 0 19 Apr 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning Marco Arazzi S. Nicolazzo Antonino Nocera FedML AAML 44 3 0 18 Apr 2024
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning Yukai Cai Hang Liu Xiulin Wang Hongjin Li Ziyi Wang Chuanshuai Yang Fengyu Cong FedML 26 0 0 18 Apr 2024
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar Samson Zhou FedML 40 5 0 16 Apr 2024
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 55 2 0 16 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 62 0 0 16 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language Models Nicolas Wagner Dongyang Fan Martin Jaggi 44 3 0 15 Apr 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal Ziyao Liu Huanyi Ye Yu Jiang Jiyuan Shen Jiale Guo Ivan Tjuawinata Kwok-Yan Lam MU 40 5 0 15 Apr 2024
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication Xun Yuan Yang Yang P. Gope A. Pasikhani Biplab Sikdar 47 2 0 15 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 42 1 0 15 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 47 3 0 14 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 38 5 0 13 Apr 2024
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees William Fleshman Aleem Khan Marc Marone Benjamin Van Durme CLL KELM 58 3 0 12 Apr 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 52 1 0 11 Apr 2024
Bayesian Federated Model Compression for Communication and Computation Efficiency Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau 31 0 0 11 Apr 2024
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation A. Chebykin Peter A. N. Bosman Tanja Alderliesten MedIm 37 0 0 09 Apr 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 39 6 0 09 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 124 15 0 09 Apr 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 63 18 0 09 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 42 1 0 05 Apr 2024
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks Qiushi Li Yan Zhang Ju Ren Qi Li Yaoxue Zhang AAML PICV 43 23 0 05 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 38 6 0 03 Apr 2024