Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration

1 December 2023

Papers citing "Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration"

5 / 5 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Quyang Pan Bo Gao Tian Wen FedML 30 0 0 03 Jan 2025
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 27 4 0 14 Jan 2023
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 278 404 0 09 Apr 2018