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07/21/2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Perfect synchronization in distributed machine learning problems is inef...
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11/18/2022
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
Differentiable architecture search (DARTS) has been a mainstream directi...
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09/27/2022
Efficient View Path Planning for Autonomous Implicit Reconstruction
Implicit neural representations have shown promising potential for the 3...
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08/03/2022
MTGFlow: Unsupervised Multivariate Time Series Anomaly Detection via Dynamic Graph and Entity-aware Normalizing Flow
Multivariate time series anomaly detection has been extensively studied ...
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07/22/2022
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction
Implicit neural representations have shown compelling results in offline...
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05/27/2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
In an asynchronous federated learning framework, the server updates the ...
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05/25/2022
Semantic-preserved Communication System for Highly Efficient Speech Transmission
Deep learning (DL) based semantic communication methods have been explor...
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02/08/2022
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
Semantic-oriented communication has been considered as a promising to bo...
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02/07/2022
Semantic-aware Speech to Text Transmission with Redundancy Removal
Deep learning (DL) based semantic communication methods have been explor...
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01/30/2022
Neural Architecture Ranker
Architecture ranking has recently been advocated to design an efficient ...
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10/06/2021
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
With the increased penetration and proliferation of Internet of Things (...
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03/17/2021
Fairness-aware Outlier Ensemble
Outlier ensemble methods have shown outstanding performance on the disco...
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12/30/2020
PrivSyn: Differentially Private Data Synthesis
In differential privacy (DP), a challenging problem is to generate synth...
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09/01/2020
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Vision-based dynamic pedestrian intrusion detection (PID), judging wheth...
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01/21/2020
You foot the bill! Attacking NFC with passive relays
Imagine when you line up in a store, the person in front of you can make...
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12/23/2017
LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in Crowdsensing
In this paper, we study the incentive mechanism design for real-time dat...
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11/02/2017
REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in Crowdsensing
Incentive mechanism plays a critical role in privacy-aware crowdsensing....
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11/01/2017