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 ...
Are async functions currently unsupported, or is there a workaround for tools that rely on asynchronous behaviour? For example, I have a tool that retrieves data asynchronously from various web ...
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 ...
[ X] I confirm this is a bug with Supabase, not with my own application. [ X] I confirm I have searched the Docs, GitHub Discussions, and Discord. When using Supabase Edge Functions to perform cleanup ...
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