Abstract: With the sixth-generation (6G) communication technology, Federated Learning (FL) has emerged as a promising distributed machine learning paradigm in the Internet of Vehicles (IoV). Due to ...
The financial industry's embrace of machine learning has reached a tipping point in 2026, moving from experimental adoption to a core operational necessity fraught with regulatory peril. Recent joint ...
FortiGate 400G: Modernizing the Enterprise Edge without Disruption Extending these capabilities to the enterprise edge, the FortiGate 400G series modernizes the mid-range firewall segment by bringing ...
Automated machine learning is being used to build a digital twin of complex networks, saving hours compared to traditional ...
A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...
Pay the people.” Founder Christopher David’s Pylon miner lets anyone earn sats by contributing to inference, embeddings, and ...
According to Berkeley AI Research (@berkeley_ai), Matei Zaharia received the 2025 ACM Prize in Computing for visionary work in distributed data systems and computing infrastructure that enable large ...
The field of medicine and medical imaging (X-rays, MRIs, CT scans, etc.) is rich in data, creating fertile ground for Artificial Intelligence (AI). Machine learning models, particularly deep neural ...
Abstract: A method for distributed polarization mode dispersion (PMD) measurement based on machine learning assisted POTDR is presented in this study, which extracts the characteristics of ...
Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...
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