FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data

22 May 2020

Yang Liu

Papers citing "FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data"

36 / 36 papers shown

Title
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 14 0 0 09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 18 0 0 27 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 36 0 0 23 Jul 2024
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 30 4 0 20 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 19 1 0 01 Jun 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 29 2 0 17 May 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 22 13 0 29 Apr 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 22 2 0 27 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Yongcun Song Ziqi Wang Enrique Zuazua FedML 21 2 0 21 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 29 1 0 30 Jan 2024
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 32 0 0 21 Nov 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 19 16 0 30 Jul 2023
Distributed Random Reshuffling Methods with Improved Convergence Kun-Yen Huang Linli Zhou Shi Pu 17 4 0 21 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 16 9 0 04 Jun 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 19 33 0 19 May 2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime Jongho Park Jinchao Xu FedML 37 1 0 17 May 2023
Distributed Stochastic Optimization under a General Variance Condition Kun-Yen Huang Xiao Li Shin-Yi Pu FedML 20 5 0 30 Jan 2023
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Z. Wang Tsung-Hui Chang Tony Q. S. Quek Defeng Sun FedML 20 9 0 03 Dec 2022
Bayesian Federated Neural Matching that Completes Full Information Peng Xiao Samuel Cheng FedML 11 2 0 15 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 32 7 0 08 Nov 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 19 2 0 07 Nov 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 43 59 0 02 Aug 2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning John Nguyen Jianyu Wang Kshitiz Malik Maziar Sanjabi Michael G. Rabbat FedML AI4CE 13 21 0 30 Jun 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 13 23 0 30 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 16 20 0 27 May 2022
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang Mingyi Hong N. Elia FedML 11 3 0 27 Apr 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 18 40 0 15 Feb 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning Wenzhi Fang Ziyi Yu Yuning Jiang Yuanming Shi Colin N. Jones Yong Zhou FedML 76 55 0 24 Jan 2022
Distributed Random Reshuffling over Networks Kun-Yen Huang Xiao Li Andre Milzarek Shi Pu Junwen Qiu 25 11 0 31 Dec 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 15 71 0 27 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 8 29 0 16 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 173 410 0 14 Jul 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 13 90 0 25 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 19 93 0 21 Jun 2021
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 10 45 0 11 Sep 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 14 1,293 0 15 Jul 2020