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AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust
  Autonomous Driving

AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving

17 February 2023
Tianyue Zheng
Ang Li
Zhe Chen
Hao Wang
Jun-Jie Luo
ArXivPDFHTML

Papers citing "AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving"

22 / 22 papers shown
Title
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Yanan Ma
Senkang Hu
Zhengru Fang
Yun Ji
Yiqin Deng
Yuguang Fang
46
0
0
22 Mar 2025
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design
Mingzhu Wu
Jianan Jiang
Xinglin Li
Hanhui Deng
Di Wu
FedML
50
0
0
16 Mar 2025
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao
Junyu Luo
Xiao Luo
Jinsheng Huang
Jingyang Yuan
Zhiping Xiao
M. Zhang
TTA
87
0
0
04 Mar 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
Yi Liu
Cong Wang
Xingliang Yuan
42
1
0
20 Feb 2025
Spatially Visual Perception for End-to-End Robotic Learning
Spatially Visual Perception for End-to-End Robotic Learning
Travis Davies
Jiahuan Yan
Xiang Chen
Yu Tian
Yueting Zhuang
Yiqi Huang
Luhui Hu
70
0
0
26 Nov 2024
Tracing Human Stress from Physiological Signals using UWB Radar
Tracing Human Stress from Physiological Signals using UWB Radar
Jia Xu
Teng Xiao
Pin Lv
Z. Chen
Chao Cai
Yang Zhang
Zehui Xiong
36
1
0
14 Oct 2024
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference
  for Autonomous Driving
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving
Pengfei Hu
Yuhang Qian
Tianyue Zheng
Ang Li
Zhe Chen
Yue Gao
Xiuzhen Cheng
Jun-Jie Luo
26
0
0
13 Oct 2024
Large Model for Small Data: Foundation Model for Cross-Modal RF Human
  Activity Recognition
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
Yuxuan Weng
Guoquan Wu
Tianyue Zheng
Yanbing Yang
Jun-Jie Luo
21
5
0
13 Oct 2024
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous
  Federated Learning Framework
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
Yuxin Zhang
Zheng Lin
Zhe Chen
Zihan Fang
Wenjun Zhu
Xianhao Chen
Jin Zhao
Yue Gao
FedML
25
17
0
20 Sep 2024
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated
  Learning with Missing Modalities
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
Pranav Poudel
Prashant Shrestha
Sanskar Amgain
Y. Shrestha
P. Gyawali
Binod Bhattarai
48
0
0
11 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
S. Cherkaoui
39
3
0
05 Jun 2024
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
SATSense: Multi-Satellite Collaborative Framework for Spectrum Sensing
Haoxuan Yuan
Zhe Chen
Zheng Lin
Jinbo Peng
Zihan Fang
Yuhang Zhong
Zihang Song
Yue Gao
26
12
0
24 May 2024
Balancing Similarity and Complementarity for Federated Learning
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan
Sen Cui
Abudukelimu Wuerkaixi
Jingfeng Zhang
Bo Han
Gang Niu
Masashi Sugiyama
Changshui Zhang
FedML
32
1
0
16 May 2024
FedAC: An Adaptive Clustered Federated Learning Framework for
  Heterogeneous Data
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
FedML
36
21
0
25 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine
  Learning
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
27
2
0
21 Feb 2024
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
Yunfeng Fan
Wenchao Xu
Haozhao Wang
Jiaqi Zhu
Song Guo
26
0
0
31 Dec 2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks
  and Capabilities for Smart Cities
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Xianhao Chen
Yiqin Deng
Haichuan Ding
Guanqiao Qu
Haixia Zhang
P. Li
Yuguang Fang
GNN
34
40
0
22 Apr 2023
Efficient Parallel Split Learning over Resource-constrained Wireless
  Edge Networks
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
Zhengyi Lin
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Yue Gao
Kaibin Huang
Yuguang Fang
21
101
0
26 Mar 2023
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of
  Adverse Weather Conditions for 3D Object Detection
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
Velat Kilic
Deepti Hegde
Vishwanath A. Sindagi
A. Cooper
M. Foster
Vishal M. Patel
132
68
0
14 Jul 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
176
267
0
26 Feb 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
196
840
0
20 Dec 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
1