Inverse Distance Aggregation for Federated Learning with Non-IID Data

Inverse Distance Aggregation for Federated Learning with Non-IID Data

17 August 2020

Nassir Navab

Shadi Albarqouni

Papers citing "Inverse Distance Aggregation for Federated Learning with Non-IID Data"

14 / 14 papers shown

Title
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 55 20 0 20 Apr 2025
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Yousef Yeganeh Rui Xiao Goktug Guvercin Nassir Navab Azade Farshad MedIm 40 0 0 31 Dec 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 56 5 0 10 May 2024
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT Edward H. Lee B. Kelly E. Altinmakas H. Doğan M. Mohammadzadeh ... Faezeh Sazgara S. Wong Michael E. Moseley S. Halabi Kristen W. Yeom FedML OOD 15 1 0 23 Mar 2023
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 32 42 0 07 Nov 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 24 0 0 06 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang Hongzheng Yang Chen Cheng Qianming Dou 34 32 0 16 Apr 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 25 123 0 20 Dec 2021
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering Mohsen Ahmadi Ali Taghavirashidizadeh D. Javaheri Armin Masoumian Saeid Jafarzadeh Ghoushchi Y. Pourasad FedML 27 60 0 07 Nov 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 49 10 0 18 Sep 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 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 1,707 0 18 Mar 2020