FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions

25 April 2024

Papers citing "FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions"

7 / 7 papers shown

Title
Mist: Towards Improved Adversarial Examples for Diffusion Models Chumeng Liang Xiaoyu Wu DiffM 66 55 0 22 May 2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients Chen Wu Zexi Li Fang Wang Chao Wu FedML 26 14 0 06 Apr 2023
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 61 253 0 22 Mar 2022
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 73 169 0 25 Sep 2021
FedNS: Improving Federated Learning for collaborative image classification on mobile clients Yaoxin Zhuo Baoxin Li FedML 40 14 0 20 Jan 2021
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 139 4,532 0 23 Apr 2020
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016