Sign up to save your podcasts
Or
Share Byzantine Fault Tolerant Consensus
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Byzantine Fault Tolerant Consensus
Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many different protocols for achieving BFT, though not all options can scale to large network sizes.
Ted Yin joins us to explain BFT, survey the wide variety of protocols, and share details about HotStuff.
View all episodes
By Kyle Polich
4.4
473473 ratings
Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many different protocols for achieving BFT, though not all options can scale to large network sizes.
Ted Yin joins us to explain BFT, survey the wide variety of protocols, and share details about HotStuff.
More shows like Data Skeptic
View all
Talk Python To Me
590 Listeners
Software Engineering Daily
621 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
298 Listeners
NVIDIA AI Podcast
331 Listeners
Data Engineering Podcast
141 Listeners
Machine Learning Guide
763 Listeners
DataFramed
267 Listeners
Practical AI
192 Listeners
The Stack Overflow Podcast
62 Listeners
Last Week in AI
298 Listeners
Machine Learning Street Talk (MLST)
88 Listeners
Me, Myself, and AI
106 Listeners
This Day in AI Podcast
201 Listeners
Latent Space: The AI Engineer Podcast
75 Listeners
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
491 Listeners