Fed-ensemble: Improving Generalization through Model Ensembling in
Federated Learning

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

21 July 2021

Mosharaf Chowdhury

Papers citing "Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning"

8 / 8 papers shown

Title
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 24 0 0 12 Apr 2025
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL Chao Feng Alberto Huertas Celdrán Michael Vuong Gérome Bovet Burkhard Stiller AAML 13 1 0 12 Oct 2023
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
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 28 50 0 09 Nov 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,703 0 18 Mar 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017