FedSplit: An algorithmic framework for fast federated optimization

11 May 2020

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

50 / 118 papers shown

Title
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 31 0 0 08 Apr 2025
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data Jie Liu Y. Wang FedML 73 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 47 1 0 10 Mar 2025
FedECADO: A Dynamical System Model of Federated Learning Aayushya Agarwal Gauri Joshi L. Pileggi FedML 18 0 0 13 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 20 0 0 27 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Shiqiang Wang Christopher G. Brinton 24 4 0 27 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 24 0 0 23 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated Learning Yifan Hua Jinlong Pang Xiaoxue Zhang Yi Liu X. Shi Bao Wang Yang Liu Chen Qian FedML 29 0 0 09 Sep 2024
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspective Guoqiang Zhang Richard Heusdens 29 0 0 06 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments Muxing Wang Pengkun Yang Lili Su FedML 24 1 0 05 Sep 2024
Federated Frank-Wolfe Algorithm Ali Dadras Sourasekhar Banerjee Karthik Prakhya A. Yurtsever FedML 25 4 0 19 Aug 2024
Novel clustered federated learning based on local loss Endong Gu Yongxin Chen Hao Wen Xingju Cai Deren Han FedML 23 0 0 12 Jul 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 32 4 0 25 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 70 1 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 44 6 0 19 May 2024
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays Charikleia Iakovidou Kibaek Kim FedML 27 2 0 16 May 2024
Distributed Nonlinear Conic Optimisation with partially separable Structure Richard Heusdens Guoqiang Zhang 32 1 0 15 May 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 40 7 0 30 Apr 2024
On the Convergence of Federated Learning Algorithms without Data Similarity Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 33 1 0 29 Feb 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach Bin Wang Jun Fang Hongbin Li Yonina C. Eldar FedML 28 1 0 28 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 17 1 0 31 Jan 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning Chenyu Zhang Han Wang Aritra Mitra James Anderson 23 18 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 15 2 0 05 Jan 2024
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 8 1 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 17 3 0 17 Nov 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 13 1 0 16 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei-Neng Chen Khaled B. Letaief FedML 23 10 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 13 0 0 13 Oct 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 19 2 0 10 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 30 0 0 06 Oct 2023
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM Richard Heusdens Guoqiang Zhang 29 8 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 31 1 0 18 Sep 2023
Composite federated learning with heterogeneous data Jiaojiao Zhang Jiang Hu Mikael Johansson FedML 24 4 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 11 1 0 04 Sep 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
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 18 2 0 13 Jun 2023
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters Zhenyu Sun Xiaochun Niu Ermin Wei FedML MLT 17 21 0 06 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 24 0 0 02 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 24 14 0 30 May 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 27 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 45 1 0 17 May 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 17 0 0 11 Apr 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 8 4 0 13 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 24 10 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 19 21 0 04 Feb 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 22 10 0 21 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 14 32 0 04 Jan 2023
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 24 17 0 25 Nov 2022
Federated Learning Using Three-Operator ADMM Shashi Kant J. M. B. D. Silva Gábor Fodor B. Goransson M. Bengtsson Carlo Fischione FedML 8 5 0 08 Nov 2022