Distilled One-Shot Federated Learning

17 September 2020

Papers citing "Distilled One-Shot Federated Learning"

50 / 68 papers shown

Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions Flora Amato Lingyu Qiu Mohammad Tanveer S. Cuomo F. Giampaolo F. Piccialli FedML 63 0 0 05 May 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Wenjie Qu ALM 182 1 0 24 Apr 2025
Regularizing Differentiable Architecture Search with Smooth Activation Yanlin Zhou Mostafa El-Khamy Kee-Bong Song 27 0 0 22 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 26 0 0 07 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 82 0 0 19 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 68 0 0 10 Mar 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 101 0 0 19 Feb 2025
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 98 1 0 13 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Dezhong Yao Yuexin Shi Tongtong Liu Zhiqiang Xu 69 1 0 12 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 69 0 0 23 Jan 2025
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 84 3 0 27 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 77 0 0 24 Nov 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Y. Li FedML 55 0 0 28 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 49 6 0 27 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 32 2 0 07 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning M. A. Khan Yasra Chandio Fatima M. Anwar AAML 31 0 0 30 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data Xiufang Shi Wei Zhang Mincheng Wu Guangyi Liu Z. Wen Shibo He Tejal Shah R. Ranjan DD FedML 34 1 0 26 Sep 2024
Label-Augmented Dataset Distillation Seoungyoon Kang Youngsun Lim Hyunjung Shim DD 35 2 0 24 Sep 2024
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning Kangyang Luo Shuai Wang Y. Fu Renrong Shao Xiang Li Yunshi Lan Ming Gao Jinlong Shu FedML 41 2 0 12 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions Shiguang Wang Zhongyu Zhang Jian Cheng DD 36 0 0 29 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 35 0 0 05 Aug 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 35 6 0 29 Jul 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 43 11 0 19 Jul 2024
Jigsaw Game: Federated Clustering Jinxuan Xu Hong-You Chen Wei-Lun Chao Yuqian Zhang FedML 52 0 0 17 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 43 5 0 16 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 37 0 0 04 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 37 1 0 30 May 2024
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuning Yuning Yang Xiaohong Liu Tianrun Gao Xiaodong Xu Guangyu Wang 40 5 0 15 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 34 5 0 13 May 2024
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models Matías Mendieta Guangyu Sun Chong Chen 31 5 0 02 May 2024
Federated Multi-Agent Mapping for Planetary Exploration Tiberiu-Ioan Szatmari Abhishek Cauligi FedML AI4CE 45 0 0 02 Apr 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 28 6 0 19 Mar 2024
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models Abhishek Singh Gauri Gupta Ritvik Kapila Yichuan Shi Alex Dang Sheshank Shankar Mohammed Ehab Ramesh Raskar FedML 49 0 0 25 Feb 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 82 13 0 23 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 76 8 0 02 Feb 2024
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 21 0 0 22 Dec 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 35 1 0 16 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 36 4 0 30 Sep 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 59 0 29 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 57 14 0 10 May 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid Polaki Durga Prasad Yelleti Vivek V. Ravi FedML 28 0 0 09 Apr 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 41 11 0 10 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 33 88 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 34 129 0 19 Nov 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 23 27 0 16 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 51 27 0 29 Sep 2022