Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer

16 September 2021

Papers citing "Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer"

24 / 24 papers shown

Title
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 22 0 0 19 Oct 2024
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 18 1 0 09 Oct 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 28 0 0 12 Aug 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 24 8 0 05 Jun 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 23 1 0 04 May 2024
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning Pengchao Han Xingyan Shi Jianwei Huang FedML 20 3 0 28 Nov 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu Wan-Yi Lin Devin Willmott Filipe Condessa Yufei Huang Zhenzhen Li Madan Ravi Ganesh FedML 21 4 0 14 Nov 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 19 6 0 28 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 13 0 0 12 Jul 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 13 99 0 20 Jun 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 16 18 0 15 Mar 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 22 31 0 01 Jan 2023
Modular Federated Learning Kuo-Yun Liang A. Srinivasan J. C. Andresen FedML 24 7 0 07 Sep 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 20 51 0 16 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 19 9 0 05 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 24 31 0 30 May 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho Andre Manoel Gauri Joshi Robert Sim Dimitrios Dimitriadis FedML 15 128 0 27 Apr 2022
Personalized Federated Learning via Convex Clustering Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 16 16 0 01 Feb 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 173 410 0 14 Jul 2021
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources Xiaoqing Ellen Tan Chung Chang Ling Zhou Lu Tang CML 8 18 0 10 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 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 169 351 0 07 Dec 2020
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 187 473 0 12 Jun 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 267 404 0 09 Apr 2018