Papers citing "A Field Guide to Federated Optimization"

50 / 294 papers shown

Title
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems Daniel M. Jimenez-Gutierrez Enrique Zuazua Joaquin Del Rio Oleksii Sliusarenko Xabi Uribe-Etxebarria 20 0 0 03 Nov 2025
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang Jianing Zhang Evan Chen Zhe Li Rui Li Haibo Yang FedML 86 0 0 24 Oct 2025
The Sherpa.ai Blind Vertical Federated Learning Paradigm to Minimize the Number of Communications Alex Acero Daniel M. Jimenez-Gutierrez Dario Pighin Enrique Zuazua Joaquin Del Rio Xabi Uribe-Etxebarria FedML 82 1 0 19 Oct 2025
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more J. Allcock Joao F. Doriguello Gábor Ivanyos M. Santha 119 3 0 08 Oct 2025
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates Alex Iacob Andrej Jovanovic M. Safaryan Meghdad Kurmanji Lorenzo Sani Samuel Horváth William F. Shen Xinchi Qiu Nicholas D. Lane AI4CE 90 0 0 06 Oct 2025
Who to Trust? Aggregating Client Knowledge in Logit-Based Federated Learning Viktor Kovalchuk Nikita Kotelevskii Maxim Panov Samuel Horvath Martin Takáč FedML 48 0 0 18 Sep 2025
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration Ahmed Khaled Satyen Kale Arthur Douillard Chi Jin Rob Fergus Manzil Zaheer 78 1 0 12 Sep 2025
Perfectly-Private Analog Secure Aggregation in Federated Learning Delio Jaramillo-Velez Charul Rajput Ragnar Freij-Hollanti Camilla Hollanti Alexandre Graell i Amat FedML 44 0 0 10 Sep 2025
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation Guangyu Sun Jingtao Li Weiming Zhuang Chen Chen C. L. Philip Chen Lingjuan Lyu 74 0 0 22 Aug 2025
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability M. Crawshaw Blake Woodworth Mingrui Liu 114 0 0 16 Jun 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Zhu Han Choong Seon Hong AI4CE 267 4 0 11 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 344 1 0 05 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Wanrong Zhu Qinghua Lu Shanshan Ye Jing Jiang OODD 844 3 0 02 May 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 264 0 0 07 Apr 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client VectorsComputer Vision and Pattern Recognition (CVPR), 2025 Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 223 3 0 20 Mar 2025
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Zachary B. Charles Gabriel Teston Lucio Dery Keith Rush Nova Fallen Zachary Garrett Arthur Szlam Arthur Douillard 758 11 0 12 Mar 2025
One-Shot Clustering for Federated LearningBigData Congress [Services Society] (BSS), 2024 Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 325 0 0 06 Mar 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Dezhong Yao Yuexin Shi Tongtong Liu Zhiqiang Xu 204 3 0 12 Feb 2025
Using Federated Machine Learning in Predictive Maintenance of Jet Engines Asaph Matheus Barbosa Thao Vy Nhat Ngo Elaheh Jafarigol Theodore Trafalis Emuobosa P. Ojoboh 119 2 0 07 Feb 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition Hu Ding Yan Yan Yang Lu Jing-Hao Xue Hanzi Wang 270 1 0 03 Jan 2025
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning Shayan Mohajer Hamidi Ali Bereyhi S. Asaad H. Vincent Poor 217 1 0 05 Dec 2024
Photon: Federated LLM Pre-Training Lorenzo Sani Alex Iacob Zeyu Cao Royson Lee Bill Marino ... Dongqi Cai Zexi Li Wanru Zhao Xinchi Qiu Nicholas D. Lane AI4CE 204 11 0 05 Nov 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2024 Minghui Chen Meirui Jiang Xin Zhang Qi Dou Zehua Wang Xiaoxiao Li MoMe FedML 264 5 0 31 Oct 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett FedML 211 1 0 28 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 120 2 0 13 Oct 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge EditingInternational Conference on Learning Representations (ICLR), 2024 Jiamu Zheng Jinghuai Zhang Xuhong Zhang Xuhong Zhang Jianwei Yin Tao Lin KELM 450 0 0 12 Oct 2024
Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024 Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 244 26 0 11 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 170 0 0 07 Oct 2024
Debiasing Federated Learning with Correlated Client ParticipationInternational Conference on Learning Representations (ICLR), 2024 Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 231 1 0 02 Oct 2024
Hierarchical Federated Learning with Multi-Timescale Gradient CorrectionNeural Information Processing Systems (NeurIPS), 2024 Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 153 14 0 27 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning FrameworkIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024 Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 312 19 0 17 Sep 2024
GAS: Generative Activation-Aided Asynchronous Split Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiarong Yang Yuan Liu 119 1 0 02 Sep 2024
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning Andrés Catalino Castillo Jiménez Ege C. Kaya Lintao Ye Abolfazl Hashemi FedML 175 3 0 24 Aug 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 155 5 0 19 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 310 9 0 16 Aug 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel ExtractionNeural Information Processing Systems (NeurIPS), 2024 Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 174 14 0 28 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 244 6 0 12 Jul 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 190 2 0 05 Jul 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024 Gang Hu Yinglei Teng Nan Wang Zhu Han FedML 115 4 0 14 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Guangyi Liu Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 164 20 0 07 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 192 23 0 05 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 189 0 0 04 Jun 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik G. Karagulyan Egor Shulgin Abdurakhmon Sadiev Peter Richtárik FedML 189 4 0 30 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Chaosheng Dong Haibo Yang FedML 350 7 0 24 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 186 10 0 19 May 2024
Federated Learning With Energy Harvesting Devices: An MDP Framework Kai Zhang Xu Cao Khaled B. Letaief 188 3 0 17 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 158 7 0 07 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client ParticipationInternational Conference on Machine Learning (ICML), 2024 Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 170 2 0 04 May 2024
An Information Theoretic Perspective on Conformal PredictionNeural Information Processing Systems (NeurIPS), 2024 Alvaro H.C. Correia F. V. Massoli Christos Louizos Arash Behboodi 266 12 0 03 May 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Yuan Wang Huazhu Fu Renuga Kanagavelu Qingsong Wei Yong Liu Rick Siow Mong Goh FedML 134 45 0 29 Apr 2024