Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 766 papers shown

Title
Local Adaptivity in Federated Learning: Convergence and Consistency Jianyu Wang Zheng Xu Zachary Garrett Zachary B. Charles Luyang Liu Gauri Joshi FedML 32 39 0 04 Jun 2021
Federated Learning for Short-term Residential Load Forecasting Christopher Briggs Zhong Fan Péter András 9 51 0 27 May 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 13 63 0 27 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 27 630 0 20 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 27 46 0 17 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 15 184 0 12 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis Baihe Huang Xiaoxiao Li Zhao Song Xin Yang FedML 31 16 0 11 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 51 244 0 29 Apr 2021
End-to-End Speech Recognition from Federated Acoustic Models Yan Gao Titouan Parcollet Salah Zaiem Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane 28 43 0 29 Apr 2021
Decentralized Federated Averaging Tao Sun Dongsheng Li Bao Wang FedML 54 207 0 23 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu ... Elvira Stellato G. Carrafiello A. Ierardi Alan Yuille H. Roth OOD FedML 44 46 0 20 Apr 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning A. Bellet Anne-Marie Kermarrec Erick Lavoie FedML 28 21 0 15 Apr 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector A. Durrant Milan Markovic David Matthews David May J. Enright Georgios Leontidis FedML 24 68 0 14 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 27 81 0 24 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing System Renhao Lu Weizhe Zhang Qiong Li Xiaoxiong Zhong A. Vasilakos FedML 32 10 0 12 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 26 63 0 08 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification T. Bdair Nassir Navab Shadi Albarqouni FedML 21 12 0 05 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 30 59 0 03 Mar 2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation Mohamed Seif Wei-Ting Chang Ravi Tandon FedML 23 45 0 02 Mar 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning Hyun-Suk Lee Jang-Won Lee 81 53 0 02 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 841 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 24 146 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 189 268 0 26 Feb 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 30 58 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
Scaling Neuroscience Research using Federated Learning Dimitris Stripelis J. Ambite Pradeep Lam Paul M. Thompson FedML 45 28 0 16 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 950 0 03 Feb 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 21 6 0 23 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 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 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 43 37 0 16 Dec 2020
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning Yae Jee Cho Samarth Gupta Gauri Joshi Osman Yağan FedML 16 67 0 14 Dec 2020
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 18 52 0 14 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning Canh T. Dinh N. H. Tran Tuan Dung Nguyen Wei Bao A. R. Balef B. Zhou Albert Y. Zomaya FedML 26 15 0 10 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi Ekram Hossain FedML 51 82 0 09 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu FedML 37 82 0 07 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 39 140 0 07 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 29 15 0 06 Dec 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 27 49 0 25 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 32 58 0 17 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 21 92 0 12 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
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 35 109 0 03 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei Chen FedML 29 31 0 30 Oct 2020
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 42 10 0 27 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