Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks

9 March 2023

Papers citing "Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks"

6 / 6 papers shown

Title
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 103 0 0 26 Mar 2025
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 30 2 0 24 Jan 2024
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework Jingheng Zheng Wanli Ni Hui Tian Deniz Gunduz Tony Q. S. Quek Zhu Han FedML 21 8 0 04 Oct 2023
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates Yuchang Sun Yuyi Mao Jinchao Zhang FedML 28 9 0 21 Jun 2023
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 26 13 0 21 Aug 2022
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 71 169 0 28 Jan 2020