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GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

20 August 2023

Papers citing "GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning"

50 / 53 papers shown

Title
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 71 61 0 01 Jul 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features Zexi Li Qunwei Li Yi Zhou Wenliang Zhong Guannan Zhang Chao-Xiang Wu FedML 73 15 0 12 Apr 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 102 63 0 14 Feb 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 74 229 0 02 Dec 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 113 64 0 17 Jun 2022
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 101 169 0 08 Apr 2022
Federated Learning for Face Recognition with Gradient Correction Yifan Niu Weihong Deng FedML 95 57 0 14 Dec 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 70 74 0 16 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 59 173 0 15 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning Jie Zhang Song Guo Xiaosong Ma Yining Qi Wencao Xu Feijie Wu 92 182 0 04 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 94 344 0 09 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 237 488 0 01 May 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He Basel Alomair FedML 102 1,056 0 30 Mar 2021
TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation Jianqing Zhang Dongjing Wang Dongjin Yu MLAU AI4TS 28 31 0 16 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 118 337 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 332 874 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 280 824 0 15 Feb 2021
Exploiting Shared Representations for Personalized Federated Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 105 729 0 14 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 992 0 03 Feb 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 204 572 0 21 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 73 1,352 0 15 Jul 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 94 1,003 0 16 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 106 1,051 0 12 Jun 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 121 1,234 0 31 Mar 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 139 202 0 18 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 169 304 0 17 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 275 6,294 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 96 840 0 02 Dec 2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation Qiming Zhang Jing Zhang Wei Liu Dacheng Tao OOD 82 285 0 29 Oct 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 105 2,227 0 21 Jun 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 663 0 09 May 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 190 5,227 0 14 Dec 2018
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 145 1,811 0 04 Dec 2018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 61 249 0 03 Dec 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 96 453 0 21 Nov 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 706 0 04 Jul 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 96 1,313 0 23 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,615 0 20 May 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 81 396 0 22 Feb 2018
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 98 469 0 22 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 173 649 0 27 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation Yuanzhi Li Yang Yuan MLT 166 653 0 28 May 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution Lanlan Liu Jia Deng 106 205 0 02 Jan 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 435 10,541 0 21 Jul 2016
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 183 4,632 0 06 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015