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Found 7 papers, 2 papers with code
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
To address these challenges, we present Scaling User Modeling (SUM), a framework widely deployed in Meta's ads ranking system, designed to facilitate efficient and scalable sharing of online user representation across hundreds of ads models.
Cooperative Network Learning for Large-Scale and Decentralized Graphs
Here, we introduce a Cooperative Network Learning (CNL) framework to ensure secure graph computing for various graph tasks.
Fast Heterogeneous Federated Learning with Hybrid Client Selection
We present a novel clustering-based client selection scheme to accelerate the FL convergence by variance reduction.
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
However, due to the large variance of the selected subset's update, prior selection approaches with a limited sampling ratio cannot perform well on convergence and accuracy in heterogeneous FL.
Multi-Person Passive WiFi Indoor Localization with Intelligent Reflecting Surface
The past years have witnessed increasing research interest in achieving passive human localization with commodity WiFi devices.
Contactless Electrocardiogram Monitoring with Millimeter Wave Radar
Specifically, we develop a millimeter-wave radar system to contactlessly measure cardiac mechanical activity and reconstruct ECG without any contact in.
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question Answering
Text-based visual question answering (VQA) requires to read and understand text in an image to correctly answer a given question.
Optical Character Recognition
Optical Character Recognition (OCR)
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