Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model.

This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. Federated learning enables multiple devices to collaboratively train a shared model while retaining data locally. However, this decentralized approach is susceptible to manipulation by malicious actors who control a subset of participating devices, thereby biasing the model's outputs on specific topics, such as a presidential election.

Does morbid obesity negatively impact perioperative outcomes following elective reverse shoulder arthroplasty?: a propensity-matched comparative study.

Background: The incidence of primary reverse total shoulder arthroplasty (rTSA) and the prevalence of obesity have increased in the United States. Despite this, the literature assessing the effect of morbid obesity (body mass index≥40 kg/m) on perioperative surgical outcomes remains inconsistent.

Methods: A retrospective review of consecutive elective primary rTSA cases from January 2016 through September 2023 at a single tertiary referral center was performed.

Evaluating the Efficacy and Safety of Halo-Femoral Traction and Halo-Gravity Traction Techniques in Severe Kyphoscoliosis With Spinal Cord Risk Classification (SCRC) Type 3 Over the Apex.

Study Design: Retrospective cohort study.

Objective: To analyze the efficacy and safety of Halo-femoral traction (HFT) following spinal release, and preoperative Halo-gravity traction (HGT) in patients with severe spinal kyphoscoliosis and spinal cord risk classification (SCRC) type 3 at the apex.

Methods: A total of 73 patients (24 males, 49 females, mean age 22.

Erratum: Non-invasive glucose extraction by a single polarization rotator system in patients with diabetes: erratum.

[This corrects the article on p. 4909 in vol. 15, PMID: 39346983.

The Association of Sodium or Potassium Intake Timing with Athens Insomnia Scale Scores: A Cross-Sectional Study.

Background/objectives: Insomnia is a significant public health problem affecting a large population. Although previous research has explored the relationship between specific nutrients and insomnia, comprehensive analyses of daily eating patterns of macro- and micronutrients remain limited. Since nocturnal hypertension is related to sodium/potassium intake and sleep disturbances, the present cross-sectional study hypothesized that daily eating patterns of potassium and sodium would be associated with Athens Insomnia Scale (AIS) scores.