Joint Superposition Coding and Training for Federated Learning over
Multi-Width Neural Networks

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks

5 December 2021

Papers citing "Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks"

9 / 9 papers shown

Title
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 44 1 0 16 Nov 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 47 21 0 08 Jan 2023
Exploiting Features and Logits in Heterogeneous Federated Learning Yun-Hin Chan Edith C. H. Ngai FedML 24 2 0 27 Oct 2022
Slimmable Quantum Federated Learning Won Joon Yun Jae Pyoung Kim Soyi Jung Jihong Park M. Bennis Joongheon Kim 15 27 0 20 Jul 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 15 16 0 26 Mar 2022
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification Youngkee Kim Won Joon Yun Youn Kyu Lee Soyi Jung Joongheon Kim 18 5 0 17 Feb 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 22 5 0 26 Dec 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 411 0 14 Jul 2021
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 235 94 0 08 May 2020