LEAF: A Benchmark for Federated Settings

3 December 2018

S. Caldas

Sai Meher Karthik Duddu

Peter Wu

Papers citing "LEAF: A Benchmark for Federated Settings"

50 / 270 papers shown

Title
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 174 0 10 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 35 78 0 08 Jun 2021
Concept drift detection and adaptation for federated and continual learning F. Casado Dylan Lema Marcos F. Criado R. Iglesias Carlos V. Regueiro S. Barro FedML 8 63 0 27 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 22 627 0 20 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 19 46 0 17 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 30 35 0 10 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 51 243 0 29 Apr 2021
Federated Learning of User Verification Models Without Sharing Embeddings H. Hosseini Hyunsin Park Sungrack Yun Christos Louizos Joseph B. Soriaga Max Welling FedML 22 23 0 18 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 21 62 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 22 146 0 01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 181 267 0 26 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 30 13 0 23 Feb 2021
Data-Aware Device Scheduling for Federated Edge Learning Afaf Taik Zoubeir Mlika S. Cherkaoui 6 38 0 18 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 27 232 0 12 Feb 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 77 51 0 11 Jan 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 45 22 0 31 Dec 2020
Privacy-preserving Decentralized Aggregation for Federated Learning Beomyeol Jeon S. Ferdous Muntasir Raihan Rahman A. Walid FedML 20 52 0 13 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 78 16 0 09 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 30 139 0 07 Dec 2020
FAT: Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn Beat Buesser FedML 25 43 0 03 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 14 82 0 25 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 16 60 0 18 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 29 58 0 17 Nov 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 31 17 0 12 Nov 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 28 51 0 24 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 67 85 0 23 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 78 0 13 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 18 121 0 12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric P. Xing Afshin Rostamizadeh FedML 16 109 0 11 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 31 79 0 17 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 13 106 0 11 Sep 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
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations Mingkai Huang Hao Li Bing Bai Chang Wang Kun Bai Fei-Yue Wang FedML 47 31 0 25 Aug 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 30 271 0 02 Jul 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu K. Shaloudegi Guojun Zhang Yaoliang Yu FedML 21 89 0 20 Jun 2020
Faster Secure Data Mining via Distributed Homomorphic Encryption Junyi Li Heng-Chiao Huang FedML 26 20 0 17 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Q. Li Zhaomin Wu Bingsheng He FedML 13 53 0 14 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 24 22 0 12 Jun 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 21 227 0 22 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 37 182 0 11 May 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 15 397 0 02 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 11 71 0 09 Mar 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 25 339 0 26 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 36 565 0 25 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 46 1,097 0 15 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 14 47 0 06 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 223 0 01 Feb 2020