Fake It Till Make It: Federated Learning with Consensus-Oriented Generation

10 December 2023

Rui Ye

Siheng Chen

Papers citing "Fake It Till Make It: Federated Learning with Consensus-Oriented Generation"

29 / 29 papers shown

Title
FedExP: Speeding Up Federated Averaging via Extrapolation Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 57 61 0 23 Jan 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 129 59 0 01 Oct 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 76 55 0 01 Sep 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 91 76 0 06 Jun 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 69 25 0 30 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 70 79 0 27 May 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 83 267 0 17 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 84 45 0 05 Mar 2022
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 76 781 0 08 Nov 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 116 178 0 29 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 273 421 0 14 Jul 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 80 661 0 20 May 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He Basel Alomair FedML 99 1,049 0 30 Mar 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 98 559 0 03 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 155 408 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 70 1,348 0 15 Jul 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 99 209 0 06 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 183 1,452 0 29 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 81 569 0 18 Dec 2019
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 273 6,285 0 10 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 101 862 0 08 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 145 1,164 0 13 Sep 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 87 626 0 07 Dec 2018
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 79 609 0 17 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,926 0 25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 74 536 0 07 Dec 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,967 0 26 Nov 2014