conftrace_

edge computing

210 papers

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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

A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity NIPS 2021
Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation EMNLP 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021
Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract) AAAI 2021
SmallER: Scaling Neural Entity Resolution for Edge Devices INTERSPEECH 2021
On-Device Streaming Transformer-Based End-to-End Speech Recognition INTERSPEECH 2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation INTERSPEECH 2021
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming ICCV 2021
DeepMark++: Real-Time Clothing Detection at the Edge WACV 2021
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices AAAI 2021
Mistify: Automating DNN Model Porting for On-Device Inference at the Edge NSDI 2021
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings EACL 2021
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors RSS 2021
Budget Learning via Bracketing AISTATS 2020
Local Binary Pattern Networks WACV 2020
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NIPS 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning EMNLP 2020
Distributed Machine Learning through Heterogeneous Edge Systems AAAI 2020
T-Basis: a Compact Representation for Neural Networks ICML 2020
Real-Time Single-Channel Deep Neural Network-Based Speech Enhancement on Edge Devices INTERSPEECH 2020
Successes, Challenges and Opportunities for Speech Technology in Conversational Agents INTERSPEECH 2020