Tighter Regret Analysis and Optimization of Online Federated Learning

13 May 2022

Papers citing "Tighter Regret Analysis and Optimization of Online Federated Learning"

23 / 23 papers shown

Title
Multimodal Online Federated Learning with Modality Missing in Internet of Things Heqiang Wang Xiang Liu Xiaoxiong Zhong Lixing Chen Fangming Liu Weizhe Zhang 30 0 0 22 May 2025
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 45 0 0 12 Aug 2024
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 50 11 0 16 Apr 2022
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 31 20 0 13 Oct 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 65 37 0 29 Jun 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 80 220 0 14 Jan 2021
Distributed Online Learning with Multiple Kernels Jeongmin Chae Songnam Hong 43 28 0 17 Nov 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 45 1,321 0 15 Jul 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 49 225 0 05 Jun 2020
Active Learning with Multiple Kernels Songnam Hong Jeongmin Chae VLM 18 17 0 07 May 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method Bekir Sait Ciftler A. Albaseer Noureddine Lasla M. Abdallah FedML 32 25 0 07 Jan 2020
Variance Reduced Local SGD with Lower Communication Complexity Xian-Feng Liang Shuheng Shen Jingchang Liu Zhen Pan Enhong Chen Yifei Cheng FedML 66 153 0 30 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 138 6,177 0 10 Dec 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 231 767 0 28 Sep 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 58 432 0 10 Sep 2019
Introduction to Online Convex Optimization Elad Hazan OffRL 102 1,922 0 07 Sep 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 57 2,302 0 13 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 85 5,105 0 14 Dec 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 103 1,525 0 08 Nov 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 134 2,547 0 02 Jun 2018
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics Yanning Shen Tianyi Chen G. Giannakis 45 64 0 28 Dec 2017
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 61 425 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 241 17,328 0 17 Feb 2016