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 ...
Journal Editorial Report: The Fed Chief signals rate cuts are coming. As we saw during the Covid pandemic, lab-created experiments can wreak havoc when they escape their confines. Once released, they ...
Covering the video games industry since 2017, with experience in news, articles, lists, and reviews (and I blame The Legend of Zelda: Majora's Mask for that). If you are a fan of RPGs and want a third ...
Asynchronous multiplayer games offer deep strategy in short sessions, seamlessly fitting into busy lives. Games like Through the Ages, RAID: Shadow Legends, and The Battle of Polytopia excel in async ...
“If you are always trying to be normal you may never know how amazing you can be.” –Maya Angelou There is a great body of evidence in neuroscience indicating that our individuality originates within ...
Although mnemonic devices far predate the written word, both Cicero and Quintilian name Simonides of Ceos (c. 556-468 BCE) as the first teacher of an art of memory. Simonides is perhaps best known for ...
Senior iOS Engineer with over 12 years of experience developing scalable, user-focused apps using Swift, SwiftUI, UIKit, and more. Senior iOS Engineer with over 12 years of experience developing ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results