conftrace_

edge computing

210 papers

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Also known as

EC

Co-occurring keywords

model compression (3302) federated learning (1333) edge device (33) large language model (13587) knowledge distillation (3725) object detection (2762) model quantization (281) neural network optimization (1293) efficient computing (781) neural architecture search (666)

Papers

Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts AAAI 2025
An Efficient Hybrid Vision Transformer for TinyML Applications ICCV 2025
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptation WACV 2025
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings EMNLP 2025
FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025
Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model ICCV 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge AAAI 2025
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe COLING 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection EMNLP 2025
TANGO: Secure Collaborative Route Control across the Public Internet NSDI 2024
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring IJCAI 2024
Federated Online Adaptation for Deep Stereo CVPR 2024
Feed-Forward Latent Domain Adaptation WACV 2024
Device-Wise Federated Network Pruning CVPR 2024
Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi COLING 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices IJCAI 2024
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting INTERSPEECH 2024