The community is encouraged to both read and contribute to the codebase. Flower's goal is to make federated learning accessible to everyone. This series of tutorials introduces the fundamentals of ...
AI has a big problem – data shortage, and it could quickly gobble up innovation, writes Satyen K. Bordoloi as he outlines the solutions being cooked in the pressure cookers called AI companies Data is ...
The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...
G is known as the fifth generation of wireless technology. If you have a 5G cell phone, its connection is made faster and more flexible by 5G.
IT leaders warn AI is driving up cybersecurity costs, while hackers show little interest in AI for attacks, focusing instead on phishing and spam.
CISA adds four new vulnerabilities to its catalog, urging agencies to remediate risks. Learn about the latest exploits and ...
Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With ...
Nowadays, distributed machine learning methods, such as federated learning (FL), split learning (SL), and split federated learning (SFL), are widely applied in vehicular networks to support VEI.
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