IEEE

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
techxplore

One-shot federated learning AI technique combines privacy protection and efficiency

A research team has developed a new one-shot federated learning artificial intelligence (AI) technique that enables efficient training of large-scale models without sharing personal information. This ...
Hosted on MSN

Learn the Basket Weave Stitch | Easy Crochet Tutorial

Learn how to crochet with my beginner friendly crochet tutorials. From the basic steps to the more intermediate crochet stitches. Remember, you're not just a person who can crochet, you're a crochet ...
IEEE

Adaptive Federated Learning Framework for Privacy-Preserving Consumer-Centric IoMT: A Novel Secure Data Collaboration Model

Abstract: With the increasing adoption of Internet of Medical Things (IoMT) devices, modern healthcare systems face persistent challenges related to data privacy, device heterogeneity, communication ...
Hosted on MSN

Inception Net V1 Explained – Step-by-Step PyTorch Tutorial

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...
Forbes

From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
marktechpost

Build Custom AI Tools for Your AI Agents that Combine Machine Learning and Statistical Analysis

The ability to build custom tools is critical for building customizable AI Agents. In this tutorial, we demonstrate how to create a powerful and intelligent data analysis tool using Python that can be ...
marktechpost

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) for more intelligent behavior. These models are already capable of performing a wide range of tasks, ...