Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art

25 February 2020

Papers citing "Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art"

8 / 8 papers shown

Title
Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices Chao Feng Nicolas Huber Alberto Huertas Celdrán Gérome Bovet Burkhard Stiller FedML 51 0 0 12 May 2025
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures Jiacheng Wang Hongtao Lv Lei Liu FedML 25 0 0 10 May 2025
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review F. Mohammadi Farzan Shenavarmasouleh H. Arabnia 35 16 0 06 Feb 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 50 149 0 02 Aug 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 42 78 0 09 Jul 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 83 51 0 11 Jan 2021
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018