"edge computing" Papers
10 papers found
Conference
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
Junhyeog Yun, Minui Hong, Gunhee Kim
ICCV 2025arXiv:2508.06301
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
Ziru Niu, Hai Dong, A. K. Qin
AAAI 2025paperarXiv:2403.11464
5
citations
One-Shot Knowledge Transfer for Scalable Person Re-Identification
Longhua Li, Lei Qi, Xin Geng
ICCV 2025arXiv:2511.06016
1
citations
ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge
Radu Berdan, Beril Besbinar, Christoph Reinders et al.
CVPR 2025arXiv:2503.03782
4
citations
S$^2$NN: Sub-bit Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jieyuan (Eric) Zhang et al.
NEURIPS 2025arXiv:2509.24266
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
Seongmin Park, Hyungmin Kim, Sangwoo kim et al.
ICCV 2025arXiv:2505.15304
1
citations
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge
Linshen Liu, Boyan Su, Junyue Jiang et al.
ICCV 2025arXiv:2507.04123
1
citations
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update
Ji Liu, Juncheng Jia, Tianshi Che et al.
AAAI 2024paperarXiv:2312.05770
75
citations
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.
AAAI 2024paperarXiv:2402.08578
11
citations
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler et al.
ECCV 2024arXiv:2407.12589