Optimizing the Collaboration Structure in Cross-Silo Federated Learning

Optimizing the Collaboration Structure in Cross-Silo Federated Learning

10 June 2023

Papers citing "Optimizing the Collaboration Structure in Cross-Silo Federated Learning"

15 / 15 papers shown

Title
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Sarang S Druva Dhakshinamoorthy Aditya Shiva Sharma Yuvraj Singh Bhadauria Siddharth Chaitra Vivek Arihant Bansal Arnab K. Paul FedML 34 0 0 26 Apr 2025
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Hui Yeok Wong Chee Kau Lim Chee Seng Chan FedML 49 0 0 18 Apr 2025
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare Xenia Konti Hans Riess Manos Giannopoulos Yi Shen Michael J. Pencina Nicoleta J. Economou-Zavlanos Michael M. Zavlanos FedML OOD 43 1 0 09 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 40 1 0 09 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients Minh Duong Nguyen Khanh Le Khoi Do Nguyen H. Tran Duc Nguyen Chien Trinh Zhaohui Yang FedML 39 2 0 03 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 32 0 0 30 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 34 6 0 27 Sep 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 45 3 0 03 Jul 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 51 1 0 26 May 2024
Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao Tianxin Wei Haohan Wang Jingrui He TTA OOD 31 14 0 28 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 35 12 0 27 Oct 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 48 9 0 18 Sep 2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 53 2 0 14 Aug 2023
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 56 45 0 21 Sep 2022
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 123 0 19 May 2012