FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning

24 August 2023

Papers citing "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"

20 / 20 papers shown

Title
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 29 89 0 18 Mar 2023
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach Peng Mi Li Shen Tianhe Ren Yiyi Zhou Xiaoshuai Sun Rongrong Ji Dacheng Tao AAML 83 71 0 11 Oct 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 48 78 0 08 Jun 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 72 259 0 17 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 58 46 0 05 Mar 2022
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 74 159 0 28 Nov 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 63 336 0 09 Jun 2021
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip Torr CLL 47 117 0 22 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 164 1,323 0 03 Oct 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 43 1,321 0 15 Jul 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 43 76 0 12 Jun 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 52 254 0 18 Feb 2020
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 75 599 0 04 Dec 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 170 1,438 0 02 Dec 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 60 303 0 29 Sep 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 152 1,056 0 24 May 2018
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 84 769 0 06 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 269 4,620 0 18 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 362 2,922 0 15 Sep 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 288 10,149 0 16 Mar 2016