Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method

7 January 2020

Papers citing "Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method"

7 / 7 papers shown

Title
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices Kilian Pfeiffer Mohamed Aboelenien Ahmed R. Khalili J. Henkel 43 0 0 12 Nov 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 33 7 0 07 Dec 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Kilian Pfeiffer R. Khalili J. Henkel FedML 44 5 0 26 May 2023
Federated Distillation based Indoor Localization for IoT Networks Yaya Etiabi Marwa Chafii El-Mehdi Amhoud FedML 43 15 0 23 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 28 11 0 13 May 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 74 0 05 Jan 2022
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 23 44 0 21 Apr 2021