A survey on blockchain-based federated learning and data privacy
Federated learning is a decentralized machine learning paradigm that allows multiple clients to collaborate by leveraging local computational power and the model’s transmission. This …
Federated learning is a decentralized machine learning paradigm that allows multiple clients to collaborate by leveraging local computational power and the model’s transmission. This …
OBJECTIVE: To determine the difference between two laparoscopic methods for the management of endometriomas with regard to recurrence of signs and symptoms and pregnancy …
Undesirable changes in the environment such as global warming and emissions of greenhouse gases have elicited worldwide attention in recent decades. Environmental problems …
Colorectal cancer (CRC) continues to represent a significant global health challenge due to its high incidence and mortality rates. Among the signaling pathways implicated in CRC, the …
Purpose To compare the role of an aromatase inhibitor (letrozole) with a GnRH agonist (triptorelin) versus case control on the pregnancy rate and recurrence of symptoms and signs in …
WiFi backscatter communication has the potential to enable battery-free sensors which can transmit data using a WiFi network. In order for WiFi backscatter systems to be practical they …
Autoimmune mechanisms are implicated in both myasthenia gravis (MG) and multiple sclerosis (MS), and hypothesis of a common immunological mechanism of pathogenesis is …
AIM: To compare the efficacy of antibiotics therapy alone with antibiotics and saccharomyces boulardii in treatment of acute amebiasis. METHODS: In a double blind, random clinical …
In a comparison of follicular responses to controlled ovarian hyperstimulation (COH) between normal ovaries and ovaries previously treated by different laparoscopic techniques for …
OBJECTIVE: To determine if sectioning of the cervical septum in hysteroscopic metroplasty of the complete uterine septum is associated with intraoperative bleeding, cervical …