edge computing

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning ACL 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025 Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India AAAI 2025 LLMs on a Budget? Say HOLA EMNLP 2025 M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge AAAI 2025 MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings EMNLP 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 Mega-CE$^2$ : A Multimodal Heterogeneous Aggregation Framework for End-Edge-Cloud Computing ACML 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025 Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025 One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 2025 PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks ICLR 2025 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025 Region-based Content Enhancement for Efficient Video Analytics at the Edge NSDI 2025 ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge CVPR 2025 Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025 Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe COLING 2025 SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device CVPR 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025 Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge ICCV 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025