One-Shot Federated Learning

28 February 2019

Papers citing "One-Shot Federated Learning"

44 / 44 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 60 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
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 135 1 0 10 Mar 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 44 0 0 31 Dec 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
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
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 19 4 0 08 Mar 2023
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market Naibo Wang Wen-Yu Feng Fusheng Liu Moming Duan See-Kiong Ng FedML 23 6 0 23 Feb 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 20 4 0 06 Feb 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 37 4 0 28 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 20 27 0 16 Oct 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 18 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
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 43 85 0 16 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 9 5 0 07 Jun 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 47 11 0 25 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
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 18 56 0 18 Feb 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 21 7 0 06 Jan 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 24 87 0 11 Dec 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 19 60 0 29 Oct 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 45 19 0 15 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Oliver Wu Xiaoyong Yuan FedML 35 47 0 08 Sep 2021
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 37 275 0 24 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 21 56 0 21 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 38 149 0 02 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 22 67 0 27 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 37 74 0 23 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 27 627 0 20 May 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 13 29 0 01 Apr 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 48 211 0 14 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He D. Song FedML 16 113 0 02 Oct 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 48 157 0 17 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 22 108 0 09 Jun 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 561 0 19 Feb 2020
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 19 266 0 31 Oct 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 13 30 0 30 Jul 2019