Federated Learning with Non-IID Data

2 June 2018

Papers citing "Federated Learning with Non-IID Data"

50 / 448 papers shown

Title
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 26 106 0 24 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 39 52 0 18 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 53 37 0 16 Dec 2020
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 161 272 0 14 Dec 2020
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT J. Li Lingjuan Lyu X. Liu X. Zhang X. Lyu 21 113 0 11 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data N. Mhaisen Alaa Awad Amr M. Mohamed A. Erbad Mohsen Guizani FedML 50 12 0 10 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping Jin-Woo Lee Jaehoon Oh Yooju Shin Jae-Gil Lee Seyoul Yoon FedML 80 16 0 09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 44 141 0 07 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring Gautham Krishna Gudur S. K. Perepu FedML 19 37 0 04 Dec 2020
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks Yong Xiao Yingyu Li Guangming Shi H. Vincent Poor 24 20 0 25 Nov 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 29 82 0 25 Nov 2020
Federated learning with class imbalance reduction Miao Yang Akitanoshou Wong Hongbin Zhu Haifeng Wang H. Qian FedML 14 121 0 23 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 26 2 0 14 Nov 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 31 17 0 12 Nov 2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 35 92 0 12 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 27 1 0 11 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 33 71 0 06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 8 19 0 06 Nov 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 90 92 0 19 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 135 0 18 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 19 61 0 14 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 80 0 13 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric Xing Afshin Rostamizadeh FedML 25 109 0 11 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 59 187 0 05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 46 546 0 03 Oct 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 29 23 0 17 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 62 158 0 17 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 19 153 0 01 Sep 2020
Federated Edge Learning : Design Issues and Challenges Afaf Taik Soumaya Cherkaoui FedML 21 62 0 31 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 42 0 0 26 Aug 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 76 95 0 26 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data Sohei Itahara Takayuki Nishio Yusuke Koda M. Morikura Koji Yamamoto FedML 25 251 0 14 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 58 627 0 02 Aug 2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization Jiazhi Xia Tianxiang Chen Lei Zhang Wei Chen Yang Chen X. Zhang C. Xie Tobias Schreck 15 11 0 30 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 26 60 0 22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 195 0 17 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 33 361 0 15 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 23 1,304 0 15 Jul 2020
Client Adaptation improves Federated Learning with Simulated Non-IID Clients Laura Rieger Rasmus M. Th. Høegh Lars Kai Hansen FedML 29 6 0 09 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 20 595 0 07 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images Boyi Liu Bingjie Yan Yize Zhou Yifan Yang Yixian Zhang OOD FedML 28 153 0 05 Jul 2020
Federated Mutual Learning T. Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Fei Wu Chao-Xiang Wu FedML 25 120 0 27 Jun 2020
FedFMC: Sequential Efficient Federated Learning on Non-iid Data Kavya Kopparapu Eric Lin FedML 16 34 0 19 Jun 2020
FedCD: Improving Performance in non-IID Federated Learning Kavya Kopparapu Eric Lin Jessica Zhao FedML 29 35 0 17 Jun 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 54 0 14 Jun 2020