Distilled One-Shot Federated Learning

17 September 2020

Papers citing "Distilled One-Shot Federated Learning"

38 / 38 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 58 0 0 05 May 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 76 0 0 19 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 63 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
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 66 0 0 23 Jan 2025
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
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
Federated Multi-Agent Mapping for Planetary Exploration Tiberiu-Ioan Szatmari Abhishek Cauligi FedML AI4CE 39 0 0 02 Apr 2024
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 29 1 0 16 Oct 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 54 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 23 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 35 11 0 10 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 50 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 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 41 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 22 129 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 17 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 45 27 0 29 Sep 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach Jun-Ying Liu Yifu Tang Haimeng Zhao X. Wang Fangyu Li Jingyi Zhang 16 5 0 01 Sep 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning Zhaomin Wu Yue Liu Bingsheng He FedML 30 37 0 13 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 47 82 0 20 Jul 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 58 363 0 22 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 30 45 0 21 Mar 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 21 1 0 21 Jan 2022
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 35 30 0 16 Sep 2021
Order Optimal Bounds for One-Shot Federated Learning over non-Convex Loss Functions Arsalan Sharifnassab Saber Salehkaleybar S. J. Golestani FedML 6 0 0 19 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 20 67 0 27 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 48 211 0 14 Jan 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 42 111 0 02 Dec 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He D. Song FedML 16 113 0 02 Oct 2020
Dataset Condensation with Gradient Matching Bo-Lu Zhao Konda Reddy Mopuri Hakan Bilen DD 36 472 0 10 Jun 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017