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08/19/2023
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize act...
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01/16/2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Federated learning (FL) is a promising paradigm that enables collaborati...
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04/01/2022
LDP-IDS: Local Differential Privacy for Infinite Data Streams
Streaming data collection is essential to real-time data analytics in va...
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03/24/2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Intelligent applications based on machine learning are impacting many pa...
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03/02/2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Federated learning (FL) is an emerging privacy-preserving paradigm that ...
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10/09/2020
Latent Dirichlet Allocation Model Training with Differential Privacy
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
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09/29/2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data
In Internet of Things (IoT) driven smart-world systems, real-time crowd-...
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05/04/2020
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims a...
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04/22/2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints
Distributed machine learning (ML) at network edge is a promising paradig...
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01/04/2020
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning
The real-time query of massive surveillance video data plays a fundament...
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12/17/2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
Federated learning has been showing as a promising approach in paving th...
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06/05/2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis
It has been widely understood that differential privacy (DP) can guarant...
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06/04/2019