A deep cut into Split Federated Self-supervised Learning

12 June 2024

Marcin Przewiȩźlikowski

Papers citing "A deep cut into Split Federated Self-supervised Learning"

29 / 29 papers shown

Title
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning Senior Member Ieee Joohyung Lee Mohamed Seif Jungchan Cho L. F. I. H. Vincent Poor 38 8 0 15 Nov 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 111 279 0 24 Apr 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Mahmoud Assran Quentin Duval Ishan Misra Piotr Bojanowski Pascal Vincent Michael G. Rabbat Yann LeCun Nicolas Ballas SSL AI4TS MDE 66 346 0 19 Jan 2023
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning Florian Bordes Randall Balestriero Q. Garrido Adrien Bardes Pascal Vincent 80 22 0 27 Jun 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 76 26 0 25 May 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 79 100 0 09 Apr 2022
Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee Kibok Lee Kimin Lee Honglak Lee Jinwoo Shin SSL 54 55 0 18 Nov 2021
Collaborative Unsupervised Visual Representation Learning from Decentralized Data Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang Shuai Yi FedML 102 99 0 14 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 613 6,029 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 146 1,862 0 05 Apr 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 147 438 0 10 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 271 813 0 15 Feb 2021
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining Adrian Bulat Enrique Sánchez-Lozano Georgios Tzimiropoulos 49 5 0 08 Feb 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 247 4,047 0 20 Nov 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 72 137 0 18 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 215 4,070 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 347 6,773 0 13 Jun 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Hongzhi Zhang Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 45 98 0 25 May 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 85 581 0 25 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 452 3,427 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 339 18,721 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 179 12,065 0 13 Nov 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 189 1,472 0 03 Jun 2019
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 300 10,282 0 10 Jul 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 146 2,567 0 02 Jun 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 171 19,262 0 13 Jan 2018
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
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014