SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning | Paper Citation Record

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This paper cites Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications

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This paper cites MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Unresolved cited work

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This paper cites Revisiting Knowledge Distillation for Object Detection.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Revisiting Knowledge Distillation for Object Detection

Reference 9

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This paper cites Can weight sharing outperform random architecture search? An investigation with TuNAS.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Can weight sharing outperform random architecture search? An investigation with TuNAS

Reference 10

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This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

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This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Once-for-All: Train One Network and Specialize it for Efficient Deployment

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This paper cites ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

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This paper cites YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning End-to-End Object Detection with Transformers

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This paper cites MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

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This paper cites Binarized Neural Architecture Search for Efficient Object Recognition.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Binarized Neural Architecture Search for Efficient Object Recognition

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This paper cites TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors

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This paper cites DiffusionDet: Diffusion Model for Object Detection.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning DiffusionDet: Diffusion Model for Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning DetNAS: Backbone Search for Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Rethinking Attention with Performers

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Visual Wake Words Dataset

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Dalal and B

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Smooth and Stepwise Self-Distillation for Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning CenterNet: Keypoint Triplets for Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Everingham, L

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Densely Connected Search Space for More Flexible Neural Architecture Search

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Felzenszwalb, Ross B

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Reference 45

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Lee Giles, Gary M

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Deep Residual Learning for Image Recognition

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection

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Observation cf4ae6fe-4792-48f9-bc5e-ad9c7bfbc2fe · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Unsupervised Hard Example Mining from Videos for Improved Object Detection

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Observation 01e66f9b-c263-4783-9730-c09f4c1205df · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection

Reference 69

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

Reference 70

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

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Observation ae36f9fa-b32a-4c6b-b503-3e31ff21ef53 · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning CornerNet: Detecting Objects as Paired Keypoints

Reference 76

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Observation 125b2a8a-dbf7-4944-9f19-9ffc6ed24342 · outbound

This paper cites an unresolved cited work.

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Desai, and Mooi Choo Chuah

Reference 78

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Observation a3f79f32-2b54-434a-93a9-2e2f7352a600 · outbound

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Observation d13fd917-37d2-458d-939d-2bd3000bf9cb · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages

Reference 82

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Observation 623ee5af-fe7e-41fe-bbe3-796a18bae967 · outbound

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Observation 4094d9a7-20c4-4062-8074-f5cd41d2d457 · outbound

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Reference 87

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Observation 18fddca8-d159-4af7-baca-060ff0398304 · outbound

This paper cites an unresolved cited work.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Unresolved cited work

Reference 88

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Observation 109f2db6-b5d6-4a07-af8e-ef3baf227fed · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Tiny Machine Learning: Progress and Futures

Reference 89

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Feature Pyramid Networks for Object Detection

Reference 90

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Observation bdd0efe6-e0ca-4de6-be2e-5ee74fd7b37a · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Focal Loss for Dense Object Detection

Reference 91

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Observation 2826e893-d627-4197-9281-bacc6110186a · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Microsoft COCO: Common Objects in Context

Reference 92

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Observation 7bb7eadc-ab28-48e6-9b0d-4ecd7ee6913a · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning DARTS: Differentiable Architecture Search

Reference 93

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Observation f3ebb81c-2d81-46fe-8dad-f05f86a3b0d8 · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Reference 94

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Observation 765949bd-cc54-4a43-9cdf-04237096d300 · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Inception Convolution with Efficient Dilation Search

Reference 95

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Observation 1df654ab-e036-47ca-9e2f-d17e45b31bbd · outbound

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Observation 425cea37-e51a-444c-8c55-36a5349c43e2 · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Deep Learning for Generic Object Detection: A Survey

Reference 97

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Observation cda749ab-8447-480c-9c8c-4f350a53762a · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Path Aggregation Network for Instance Segmentation

Reference 98

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Observation 956cf064-c2f8-4694-813c-bf6ed174d459 · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning SSD: Single Shot MultiBox Detector

Reference 99

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Observation b87f42d1-2cef-47d5-b615-f5b507fcfd0d · outbound

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SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Distilled Siamese Networks for Visual Tracking

Reference 100

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Pith citing papers