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 ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...
There’s lots to do in this edition of the Python Report: Do more than one thing with Python’s async. Do the math faster in Python with NumPy. Do Python in Visual Studio Code, and do it the right way ...
Despite evidence that some people with excess adiposity have ill health due to obesity, obesity is generally considered a harbinger of other diseases, not a disease in itself. The idea of obesity as a ...
LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI agents and neurosymbolic ...
What Is a VPN? Definition, How It Works, and More Your email has been sent A VPN (virtual private network) encrypts your internet traffic and protects your online privacy. Find out how it works and ...
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