Personalized Decentralized Federated Learning with Knowledge Distillation

23 February 2023

Papers citing "Personalized Decentralized Federated Learning with Knowledge Distillation"

14 / 14 papers shown

Title
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 44 0 0 27 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Hengrui Hu Anai N. Kothari Anjishnu Banerjee FedML 33 0 0 06 Apr 2025
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin Osman Yagan Carlee Joe-Wong FedML 18 1 0 24 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 20 1 0 16 Oct 2024
WPFed: Web-based Personalized Federation for Decentralized Systems Guanhua Ye Jifeng He Weiqing Wang Zhe Xue Feifei Kou Yawen Li 21 0 0 15 Oct 2024
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 25 3 0 19 Sep 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 41 0 0 05 Jul 2024
Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen FedML 53 3 0 28 May 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 21 0 0 27 May 2024
MAPL: Model Agnostic Peer-to-peer Learning Sayak Mukherjee Andrea Simonetto Hadi Jamali Rad 24 0 0 28 Mar 2024
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 31 10 0 24 May 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Khanh Long Do Binh X. Nguyen Vuong Pham Toan V. Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen FedML AI4CE 23 3 0 20 Jul 2022
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