FedDANE: A Federated Newton-Type Method

Asilomar Conference on Signals, Systems and Computers (ACSSC), 2019

7 January 2020

Papers citing "FedDANE: A Federated Newton-Type Method"

50 / 83 papers shown

Title
Adaptive Federated Learning via Dynamical System Model Aayushya Agarwal L. Pileggi Gauri Joshi FedML 94 0 0 05 Oct 2025
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks Mohamad Assaad Zeinab Nehme Mérouane Debbah 65 0 0 11 Aug 2025
Accelerated Training of Federated Learning via Second-Order Methods Mrinmay Sen Sidhant R Nair C Krishna Mohan FedML 171 0 0 29 May 2025
On Model Protection in Federated Learning against Eavesdropping Attacks Dipankar Maity Kushal Chakrabarti FedML 201 1 0 02 Apr 2025
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng M. Paul Laiu Thomas Strohmer FedML 165 0 0 14 Mar 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 210 1 0 31 Dec 2024
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning Shayan Mohajer Hamidi Ali Bereyhi S. Asaad H. Vincent Poor 229 1 0 05 Dec 2024
Federated Learning Client Pruning for Noisy LabelsACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2024 Mahdi Morafah Hojin Chang Chong Chen Bill Lin 214 2 0 11 Nov 2024
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 128 2 0 13 Oct 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge DistillationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024 Huidong Tang Chen Li Huachong Yu Sayaka Kamei Yasuhiko Morimoto FedML 195 1 0 29 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client UnavailabilityNeural Information Processing Systems (NeurIPS), 2024 Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 195 6 0 26 Sep 2024
Communication and Energy Efficient Federated Learning using Zero-Order Optimization TechniqueIEEE Transactions on Signal Processing (IEEE TSP), 2024 Elissa Mhanna Mohamad Assaad 152 0 0 24 Sep 2024
Painless Federated Learning: An Interplay of Line-Search and Extrapolation Geetika Drishya Uniyal Bapi Chatterjee FedML 271 0 0 30 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Xingtai Lv Zhiyong Peng 185 0 0 23 Jul 2024
Augmenting the FedProx Algorithm by Minimizing Convergence Anomitra Sarkar Lavanya Vajpayee 97 3 0 02 Jun 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 161 3 0 03 Apr 2024
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers Shourya Bose Yu Zhang Kibaek Kim 168 3 0 01 Apr 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 179 1 0 16 Mar 2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning Xu Yang Jiyuan Feng Songyue Guo Ye Wang Ye Ding Binxing Fang Qing Liao FedML 165 1 0 14 Mar 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen Klara Nahrstedt FedML 179 2 0 31 Jan 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 405 2 0 30 Jan 2024
Relaxed Contrastive Learning for Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 288 26 0 10 Jan 2024
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Sai Praneeth Karimireddy Carlo Masone Marco Ciccone FedML 333 3 0 30 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on ConvergenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 129 5 0 21 Nov 2023
Distributed Personalized Empirical Risk MinimizationNeural Information Processing Systems (NeurIPS), 2023 Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 181 6 0 26 Oct 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data Feng Zhu Jingjing Zhang Shengyun Liu Xin Eric Wang FedML 148 1 0 04 Sep 2023
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients Yao Shu Xiaoqiang Lin Zhongxiang Dai Bryan Kian Hsiang Low FedML 219 9 0 08 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental DesignIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Mahdi Morafah Weijia Wang Bill Lin FedML 159 14 0 28 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest BehaviorInternational Congress on Blockchain and Applications (ICBA), 2023 Amir Jaberzadeh A. Shrestha F. Khan Mohammed Afaan Shaikh Bhargav Dave Jason Geng FedML 125 8 0 19 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 302 2 0 19 Jul 2023
Understanding Generalization of Federated Learning via Stability: Heterogeneity MattersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Zhenyu Sun Xiaochun Niu Ermin Wei FedML MLT 177 34 0 06 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 207 0 0 29 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures OptimizerAnnual International Computer Software and Applications Conference (COMPSAC), 2023 Md Zarif Hossain Ahmed Imteaj FedML 235 7 0 02 May 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet RegularizationIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 Xujing Li Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 131 6 0 12 Apr 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 414 12 0 12 Mar 2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 157 6 0 08 Mar 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization AccuracyInternational Conference on Learning Representations (ICLR), 2023 Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 167 67 0 21 Feb 2023
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 211 20 0 31 Oct 2022
Federated Learning with Label Distribution Skew via Logits CalibrationInternational Conference on Machine Learning (ICML), 2022 Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 232 189 0 01 Sep 2022
Multi-Level Branched Regularization for Federated LearningInternational Conference on Machine Learning (ICML), 2022 Jinkyu Kim Geeho Kim Bohyung Han FedML 147 72 0 14 Jul 2022
On the Importance and Applicability of Pre-Training for Federated LearningInternational Conference on Learning Representations (ICLR), 2022 Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 280 101 0 23 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients UpdatesJournal of machine learning research (JMLR), 2022 Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 133 29 0 21 Jun 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm Xinteng Ma Renyi Bao Jinpeng Jiang Yang Liu Arthur Jiang Junhua Yan Xin Liu Zhisong Pan FedML 215 7 0 20 Jun 2022
Personalized Federated Learning via Variational Bayesian InferenceInternational Conference on Machine Learning (ICML), 2022 Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 184 117 0 16 Jun 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and BeyondNeural Information Processing Systems (NeurIPS), 2022 Xiao-Tong Yuan P. Li FedML 150 84 0 10 Jun 2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias EstimationEuropean Conference on Computer Vision (ECCV), 2022 Farshid Varno Marzie Saghayi Laya Rafiee Sharut Gupta Stan Matwin Mohammad Havaei FedML 248 34 0 27 Apr 2022
Adaptive Aggregation For Federated Learning K.R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 226 21 0 23 Mar 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 265 63 0 02 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 132 9 0 20 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Wanrong Zhu Jing Jiang Chengqi Zhang FedML 231 60 0 13 Feb 2022