Data-Free Diversity-Based Ensemble Selection For One-Shot Federated
Learning in Machine Learning Model Market

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market

23 February 2023

See-Kiong Ng

Papers citing "Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market"

6 / 6 papers shown

Title
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Jianwei Yin See-Kiong Ng FedML 29 5 0 18 Apr 2024
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 31 4 0 05 Jul 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 74 39 0 01 May 2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid Polaki Durga Prasad Yelleti Vivek V. Ravi FedML 23 0 0 09 Apr 2023
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 946 0 03 Feb 2021