Federated Learning with Server Learning: Enhancing Performance for Non-IID Data

6 October 2022

Papers citing "Federated Learning with Server Learning: Enhancing Performance for Non-IID Data"

9 / 9 papers shown

Title
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 42 1 0 20 Jan 2025
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 32 0 0 29 Jul 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 32 0 0 04 Jun 2024
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization Xu Yang Jiapeng Zhang Qifeng Zhang Zhuo Tang MQ 31 0 0 21 Apr 2024
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks Su Wang Seyyedali Hosseinalipour Vaneet Aggarwal Christopher G. Brinton David J. Love Wei-Long Su M. Chiang FedML 12 14 0 15 Mar 2023
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 17 7 0 06 Jan 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 171 326 0 19 Mar 2020