Abstract: Federated Learning (FL) is a distributed machine learning approach that enables multiple individual devices (clients) to collaboratively train a global machine learning model without ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...

OpenAI has fixed this zero-click attack method called ShadowLeak by researchers. Researchers at web security company Radware recently discovered what they described as a service-side data theft attack ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Rob Flowers, a 30-year veteran of the IT services industry, has been named vice president of federal client growth at NTT DATA North America. The executive announced his appointment on LinkedIn ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Map Visualization (4Wings API): Access AIS apparent fishing effort, AIS vessel presence, and SAR vessel detections between 2017 to ~5 days ago. Vessels API: Search and retrieve vessel identity based ...

QuickBooks - By centralizing customer data, enabling intelligent lead tracking, personalizing engagement, and automating workflows, it delivers a comprehensive solution for modern businesses. The ...