Practical One-Shot Federated Learning for Cross-Silo Setting

2 October 2020

Papers citing "Practical One-Shot Federated Learning for Cross-Silo Setting"

20 / 20 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
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 41 0 0 05 Apr 2025
Capture Global Feature Statistics for One-Shot Federated Learning Zenghao Guan Yucan Zhou Xiaoyan Gu FedML 68 0 0 10 Mar 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 46 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 Yuante Li FedML 55 0 0 28 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 62 0 0 03 Oct 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 51 8 0 01 Jun 2024
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 16 0 0 11 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
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 31 6 0 23 Feb 2023
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 26 4 0 06 Feb 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 32 60 0 27 Dec 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 21 140 0 01 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 30 62 0 24 Aug 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 24 1 0 23 Feb 2022
Towards Model Agnostic Federated Learning Using Knowledge Distillation A. Afonin Sai Praneeth Karimireddy FedML 30 45 0 28 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 37 31 0 16 Sep 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 73 57 0 09 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 955 0 03 Feb 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 183 357 0 07 Dec 2020