A comprehensive developer guide to implementing secure authentication in modern applications. Covers OAuth 2.0, OIDC, ...
From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...
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 ...
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 ...
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 ...
In the early days of voicemail, leaving messages was an efficient and convenient way to avoid playing “telephone tag” or scheduling unnecessary meetings. Voicemail messages record vocal inflections to ...
As a person with a chronic illness, I'm no stranger to bloodwork. I used to pore over my lab results, googling the various meanings, and trying not to panic when a test fell out of range. Function ...
As with other corporations and institutions during the coronavirus pandemic, American universities turned to virtual means to maintain their vital functions. Consequently, though synchronous and ...
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