conftrace_

edge device

33 papers

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Co-occurring keywords

edge computing (210) model compression (3302) federated learning (1333) parameter efficiency (417) neural network (6616) communication efficiency (297) efficient computing (781) object detection (2762) non-iid datum (109) look-up table (21)

Papers

A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting on Edge Devices WACV 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device NAACL 2025
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning ICCV 2025
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices CVPR 2025
Gradient Coreset for Federated Learning WACV 2024
Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution AAAI 2024
Hardware Aware Evolutionary Neural Architecture Search Using Representation Similarity Metric WACV 2024
Overload: Latency Attacks on Object Detection for Edge Devices CVPR 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NIPS 2024
Continual Learning in the Frequency Domain NIPS 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
Lightweight Delivery Detection on Doorbell Cameras WACV 2024
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NIPS 2023
XiNet: Efficient Neural Networks for tinyML ICCV 2023
Aligning Speech Enhancement for Improving Downstream Classification Performance INTERSPEECH 2023
Federated Learning Toolkit with Voice-based User Verification Demo INTERSPEECH 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
BiBench: Benchmarking and Analyzing Network Binarization ICML 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation EMNLP 2022