FedDrive: Generalizing Federated Learning to Semantic Segmentation in
Autonomous Driving

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

28 February 2022

Lidia Fantauzzo

Debora Caldarola

Papers citing "FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving"

8 / 8 papers shown

Title
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 27 3 0 05 Jun 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 43 10 0 07 May 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 27 1 0 20 Apr 2024
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 25 73 0 21 Aug 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 25 27 0 29 May 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 21 39 0 05 Oct 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 770 0 15 Feb 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 54 89 0 06 Mar 2020