Abstract: Nowadays, Federated Learning (FL) has emerged as a prominent technique of model training in Consumer Internet of Things (CIoT) without sharing sensitive local data. Targeting privacy leakage ...
Explore how aggregate demand and GDP connect and differ, using insights from Keynesian economics to understand macroeconomic ...
Understand the differences between external economies and diseconomies and how they impact industries. Learn about positive ...
Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
A recent conversation on the Vanguard's Facebook Page about peer review research led to a conspiracy theory that each ...
Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
Automation has changed how maritime teams consume information. It’s easier than ever to pull headlines, scrape alerts, and generate summaries. But in high-consequence environments — shipping security, ...
We introduce DINOv2 SALAD, a Visual Place Recognition model that achieves state-of-the-art results on common benchmarks. We introduce two main contributions: Using a finetuned DINOv2 encoder to get ...
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