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

PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration AAAI 2026
EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification AAAI 2026
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices AAAI 2026
Inference Offloading for Cost-Sensitive Binary Classification at the Edge AAAI 2026
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices AAAI 2026
SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning AAAI 2026
FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing AAAI 2026
DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge AAAI 2026
Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data AAAI 2026
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge ACL 2026
Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities AAAI 2026
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models AAAI 2026
Elevating AI on the Edge: A Demonstration of MIMaaS (Machine Intelligence with Microcontroller-as-a-Service) AAAI 2026
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026
An Empirical Study of Speculative Decoding for Small Language Models EACL 2026
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
LLMs on a Budget? Say HOLA EMNLP 2025
An Efficient Hybrid Vision Transformer for TinyML Applications ICCV 2025
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge AAAI 2025
A Multi-Task Supervised Compression Model for Split Computing WACV 2025