FedExP: Speeding Up Federated Averaging via Extrapolation

23 January 2023

Divyansh Jhunjhunwala

Papers citing "FedExP: Speeding Up Federated Averaging via Extrapolation"

41 / 41 papers shown

Title
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Y. Wang Qi Li Min Liu FedML 44 3 0 10 May 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 35 0 0 14 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 54 0 0 02 Apr 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow Herbert Woisetschläger Saikiran Bulusu Shiqiang Wang Hans-Arno Jacobsen Yingbin Liang 59 0 0 10 Feb 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 41 0 0 20 Jan 2025
Multi-Agent Collaboration Mechanisms: A Survey of LLMs Khanh-Tung Tran Dung Dao Minh-Duong Nguyen Quoc-Viet Pham Barry O’Sullivan Hoang D. Nguyen LLMAG 93 25 0 10 Jan 2025
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 82 3 0 27 Nov 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift J. Chen Jingfeng Xue Y. Wang Zhenyan Liu Lu Huang FedML 26 0 0 24 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 64 1 0 21 Oct 2024
Tighter Performance Theory of FedExProx Wojciech Anyszka Kaja Gruntkowska A. Tyurin Peter Richtárik FedML 21 0 0 20 Oct 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach Luyao Zou Quang Hieu Vo Kitae Kim Huy Q. Le Chu Myaet Thwal Chaoning Zhang Choong Seon Hong 32 1 0 17 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 23 0 0 13 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients Minh Duong Nguyen Khanh Le Khoi Do Nguyen H. Tran Duc Nguyen Chien Trinh Zhaohui Yang FedML 34 2 0 03 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox Hanmin Li Peter Richtárik FedML 27 0 0 02 Oct 2024
Towards Hyper-parameter-free Federated Learning Geetika Drishya Uniyal Bapi Chatterjee FedML 44 0 0 30 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 40 0 0 22 Aug 2024
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction Xuefeng Jiang Sheng Sun Jia Li Jingjing Xue Runhan Li Zhiyuan Wu Gang Xu Yuwei Wang Min Liu FedML 30 10 0 08 Aug 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 43 3 0 28 Jul 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 34 3 0 25 Jul 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 38 0 0 04 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi Timur Kharisov Igor Sokolov Peter Richtárik FedML 32 2 0 03 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication Kumar Kshitij Patel Margalit Glasgow Ali Zindari Lingxiao Wang Sebastian U. Stich Ziheng Cheng Nirmit Joshi Nathan Srebro 44 6 0 19 May 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 19 0 0 16 Mar 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang R. He Zilei Wang Tieniu Tan FedML 30 1 0 04 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 25 2 0 29 Dec 2023
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization Pengchao Han Shiqiang Wang Yang Jiao Jianwei Huang FedML 19 5 0 20 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 33 5 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 16 2 0 10 Dec 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim Gihun Lee Jaehoon Oh Se-Young Yun 20 2 0 22 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 36 4 0 10 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 19 8 0 23 Oct 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li Ang Li Chong Tian Qirong Ho Eric P. Xing Hongyi Wang FedML 14 5 0 04 Oct 2023
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang Jianyu Wang Ang Li FedML 32 2 0 04 Oct 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 28 51 0 27 Sep 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 16 1 0 19 Jul 2023
Improving Federated Aggregation with Deep Unfolding Networks S. Nanayakkara Shiva Raj Pokhrel Gang Li FedML 31 0 0 30 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao R. Lin Zhiqiang Tao FedML 48 3 0 01 Jun 2023
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Cheng Chen Yihao Huang Xian Wei Xiang Lian Yang Liu Mingsong Chen FedML 19 8 0 18 May 2023
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021