FedSplit: An algorithmic framework for fast federated optimization

11 May 2020

Papers citing "FedSplit: An algorithmic framework for fast federated optimization"

50 / 119 papers shown

Title
Adaptive Federated Learning via Dynamical System Model Aayushya Agarwal L. Pileggi Gauri Joshi FedML 114 0 0 05 Oct 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 225 1 0 08 Apr 2025
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data Jie Liu Yun Wang FedML 231 0 0 20 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 197 4 0 10 Mar 2025
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 132 2 0 13 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning NeedsNeural Information Processing Systems (NeurIPS), 2024 Yan Sun Li Shen Dacheng Tao FedML 205 0 0 27 Sep 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 177 16 0 27 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton SketchBigData Congress [Services Society] (BSS), 2024 Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 202 0 0 23 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated LearningIEEE International Conference on Network Protocols (ICNP), 2024 Yifan Hua Jinlong Pang Xiaoxue Zhang Yi Liu X. Shi Bao Wang Yang Liu Chen Qian FedML 145 3 0 09 Sep 2024
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspective Guoqiang Zhang Richard Heusdens 201 0 0 06 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments Muxing Wang Pengkun Yang Lili Su FedML 289 2 0 05 Sep 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 183 5 0 19 Aug 2024
Novel clustered federated learning based on local loss Endong Gu Yongxin Chen Hao Wen Xingju Cai Deren Han FedML 164 1 0 12 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 178 11 0 25 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 311 2 0 23 Jun 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 194 10 0 19 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays Charikleia Iakovidou Kibaek Kim FedML 300 3 0 16 May 2024
Distributed Nonlinear Conic Optimisation with partially separable Structure Richard Heusdens Guoqiang Zhang 201 2 0 15 May 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 151 10 0 30 Apr 2024
FedEGG: Federated Learning with Explicit Global Guidance Kun Zhai Yifeng Gao Jiabo He Difan Zou Guangnan Ye Yu-Gang Jiang Yu-Gang Jiang FedML 161 0 0 18 Apr 2024
Enhancing Privacy in Federated Learning through Local Training Nicola Bastianello Changxin Liu Karl H. Johansson 191 3 0 26 Mar 2024
On the Convergence of Federated Learning Algorithms without Data Similarity Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 228 4 0 29 Feb 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach Bin Wang Jun Fang Hongbin Li Yonina C. Eldar FedML 151 2 0 28 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 307 4 0 31 Jan 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024 Chenyu Zhang Han Wang Aritra Mitra James Anderson 213 28 0 27 Jan 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li Yong Liu Wei Wang Haoran Wu Weiping Wang FedML 229 5 0 05 Jan 2024
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 6 0 21 Nov 2023
Leveraging Function Space Aggregation for Federated Learning at Scale Nikita Dhawan Nicole Mitchell Zachary B. Charles Zachary Garrett Gintare Karolina Dziugaite FedML 202 4 0 17 Nov 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 218 2 0 16 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 361 21 0 16 Oct 2023
Tackling Heterogeneity in Medical Federated learning via Vision Transformers Erfan Darzi Yiqing Shen Yangming Ou N. Sijtsema P. V. Ooijen MedIm FedML 182 0 0 13 Oct 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 162 3 0 10 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 207 0 0 06 Oct 2023
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMMIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023 Richard Heusdens Guoqiang Zhang 266 12 0 22 Sep 2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data Hao Sun Li Shen Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao FedML 163 2 0 18 Sep 2023
Composite federated learning with heterogeneous dataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Jiaojiao Zhang Jiang Hu Mikael Johansson FedML 171 8 0 04 Sep 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data Feng Zhu Jingjing Zhang Shengyun Liu Xin Eric Wang FedML 164 1 0 04 Sep 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear SpeedupIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 124 24 0 30 Jul 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 190 2 0 13 Jun 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 197 34 0 06 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 223 0 0 02 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel LearningNeural Information Processing Systems (NeurIPS), 2023 Yifan Yang Peiyao Xiao Kaiyi Ji FedML 353 23 0 30 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth LandscapeInternational Conference on Machine Learning (ICML), 2023 Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 179 57 0 19 May 2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime Jongho Park Jinchao Xu FedML 366 1 0 17 May 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 164 0 0 11 Apr 2023
FilFL: Client Filtering for Optimized Client Participation in Federated LearningEuropean Conference on Artificial Intelligence (ECAI), 2023 Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 242 4 0 13 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative DifferentiationInternational Conference on Machine Learning (ICML), 2023 Peiyao Xiao Kaiyi Ji FedML 177 16 0 09 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 280 26 0 04 Feb 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative RegretIEEE Transactions on Signal Processing (IEEE TSP), 2023 Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 253 13 0 21 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 231 1 0 18 Jan 2023