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Found 5 papers, 0 papers with code
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease
ADMarker features a novel three-stage multi-modal federated learning architecture that can accurately detect digital biomarkers in a privacy-preserving manner.
Robust Ellipsoid-specific Fitting via Expectation Maximization
To address these problems, we propose a novel and robust method for ellipsoid fitting in a noisy, outlier-contaminated 3D environment.
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
After that, we formulate a resource allocation problem integrating NUFM in multi-access wireless systems to jointly improve the convergence rate and minimize the wall-clock time along with energy cost.
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
To overcome these challenges, we explore continual edge learning capable of leveraging the knowledge transfer from previous tasks.
Incorporating Semantic Knowledge into Latent Matching Model in Search
One technical challenge with the approach is that it is hard to train a model for tail queries and tail documents for which there are not enough clicks.
