Boosting Approach in Asynchronous Private Federated Learning
This article was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS'24), held in conjunction with NeurIPS ...
Tag: Federated
Private and custom frequency estimation in a federated environment
Motivated by the problem of next word prediction on user devices, we present and study the problem of personalized frequency ...
CMU researchers propose OpenFLAME: a federated and decentralized location service
Maps are widely used today and are useful in numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and ...
OpenFGL: A Comprehensive Benchmark for Advancing Federated Graph Learning
Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across ...
Asynchronous, dynamic, resource-efficient federated learning for a digital twin-powered IoT network
Digital twin (DT) technology is becoming increasingly popular as a method of providing Internet of Things (IoT) devices with dynamic ...
Federated learning with differential privacy for end-to-end speech recognition
*Equal taxpayers While federated learning (FL) has recently emerged as a promising approach to training machine learning models, it is ...
Sampleable anonymous aggregation for private federated data analysis
We return to the problem of designing scalable protocols for private statistics and private federated learning when each device has ...
Improved Modeling of Federated Data Sets Using Dirichlet Multinomial Mixtures
In practice, training using federated learning can be much slower than standard centralized training. This severely limits the amount of ...
pfl-research: Simulation framework to accelerate research in private federated learning
Federated learning (FL) is an emerging machine learning training paradigm in which clients own their data and collaborate to train ...
Enable data sharing through federated learning: A policy approach for chief digital officers
This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, ...
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