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 ...
FDA feedback supports 505(b)(2) filing in H2 2026; No additional studies required beyond current planned 32-subject ...
Long COVID affects an estimated 65 million people worldwide and can damage the brain, heart, blood vessels, and immune system ...
Researchers have identified serine threonine kinase 10 as a key regulator of platelet function, haemostasis and ...
At therapeutic low doses (usually 75–150 mg per day), aspirin works by inhibiting platelet aggregation, which helps prevent ...
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 ...
Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.
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