Papers Collaborative Inference
“Collaborative Inference” 태그가 달린 논문 68편 · 필터 해제
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
When multiple parties that deal with private data aim for a collaborative prediction task such as medical image classification, they are often constrained by data protection regulations and lack of trust among collaborat…
Collaborative Inferenceimage-classificationImage ClassificationInference Attack+4SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Despite the soaring use of convolutional neural networks (CNNs) in mobile applications, uniformly sustaining high-performance inference on mobile has been elusive due to the excessive computational demands of modern CNNs…
Collaborative InferenceCollaborative Inference for Efficient Remote Monitoring
While current machine learning models have impressive performance over a wide range of applications, their large size and complexity render them unsuitable for tasks such as remote monitoring on edge devices with limited…
Collaborative InferenceEdge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep Neural Networks (DNNs) have quickly attracted widespread attention. However, it is challenging to run computation-intensive DNN-ba…
Change Point DetectionCollaborative InferenceEdge-computingAuto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads to a large overhead of transmitting data …
Collaborative InferenceQuantizationDual Attention Networks for Multimodal Reasoning and Matching
We propose Dual Attention Networks (DANs) which jointly leverage visual and textual attention mechanisms to capture fine-grained interplay between vision and language. DANs attend to specific regions in images and words …
Collaborative InferenceImage-text matchingMultimodal ReasoningQuestion Answering+3Dictionary Learning over Distributed Models
In this paper, we consider learning dictionary models over a network of agents, where each agent is only in charge of a portion of the dictionary elements. This formulation is relevant in Big Data scenarios where large d…
Collaborative InferenceDictionary LearningRobust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
Graph matching is a challenging problem with very important applications in a wide range of fields, from image and video analysis to biological and biomedical problems. We propose a robust graph matching algorithm inspir…
Collaborative InferenceGraph Matching