On the Importance and Applicability of Pre-Training for Federated
Learning

On the Importance and Applicability of Pre-Training for Federated Learning

23 June 2022

Wei-Lun Chao

Papers citing "On the Importance and Applicability of Pre-Training for Federated Learning"

19 / 19 papers shown

Title
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 63 0 0 10 Mar 2025
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 71 2 0 24 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 39 8 0 02 Oct 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 39 3 0 05 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 42 0 0 04 Jun 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 38 13 0 29 Apr 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 95 10 0 31 Oct 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 21 59 0 29 Aug 2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection Naif Alkhunaizi K. Srivatsan Faris Almalik Ibrahim Almakky Karthik Nandakumar FedML 38 1 0 20 Aug 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí H. Fu X. Li FedML 32 8 0 27 Jul 2023
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 28 15 0 13 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 88 85 0 27 Jun 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 14 34 0 07 Apr 2023
Improving Fractal Pre-training Connor Anderson Ryan Farrell 80 27 0 06 Oct 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 252 3,369 0 09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,348 0 12 Dec 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 287 39,194 0 01 Sep 2014