In this modern era of financial fraud detection, traditional rule-based systems are being outpaced by hybrid models that seamlessly integrate human expertise with data engineering frameworks.

ATLANTA (AP) — Good-government advocates, anti-tax conservatives, politicians of various stripes and everyday Americans grouse about “waste, fraud and abuse” across the U.S. government.

To address these issues, we proposed FeCoGraph, a label-aware federated graph contrastive learning framework for intrusion detection in few-shot scenarios. The line graph is introduced to directly ...

SpaceX CEO Elon Musk's efforts at President Donald Trump's Department of Government Efficiency (DOGE) have revealed a number of examples of government waste that have dominated headlines in recent ...

Benedict is a data and security expert, and has spent over 7 years writing about security issues. He has covered everything from major data breaches and cyber attacks, to the malware and ...

This is all you need for a brand new but quite important topic -- Federated Learning with New Knowledge, including research papers, datasets, tools, and you name it. Federated Learning (FL) is a ...

You can use the ./network.sh script to stand up a simple Fabric test network. The test network has two peer organizations with one peer each and a single node raft ordering service. You can also use ...

(Alberto G./Flickr, CC BY) A UNIQUE DATABASE that enables people to compare standardized test scores among nearly all districts and states found that California experienced slightly less learning loss ...

Google to use machine learning tech to detect user's age Already, Google offers SafeSearch Filter, restricting sensitive ad content, and age-restricted content on YouTube and Google Play.