Eecs-fl: energy-efficient client selection for federated learning in AIoT
The Artificial Intelligence of Things (AIoT) ecosystem faces significant challenges related to limited client energy budgets and resource heterogeneity, particularly when employing the Federated Learning (FL) framework. This paper presents a novel energy-
Yiyang Zhang +4 more
doaj +1 more source
Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach
Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange.
Zohra Dakhia, Massimo Merenda
doaj +1 more source
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Other title: Title from HTML header (viewed Nov. 9, 2011): Judicial Selection Commission [PDF]
Updated irregularly; Began in 2002?; Title from main search screen (publisher's Web site, viewed Nov. 9, 2011).; At head of title: State of Connecticut.; Harvested from the web on 5/8/17Official website of the Connecticut Judicial Selection Commission ...
core
Quarterly report of the Client Security Fund Committee. 2021: Apr. to Jun. [PDF]
Quarterly; Began in 2005?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of the activities of the Client Security Fund Committee for ...
Connecticut. Client Security Fund Committee.
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Caregiver Perspectives on the Burden of Disease and Treatment in Uncontrolled Gout
Objective Uncontrolled gout (UG) refers to persistently elevated serum urate (SU) levels >6 mg/dL and ongoing gout symptoms despite use of urate‐lowering therapy (ULT). The objective of this study was to evaluate the burden associated with informal caregiving for individuals with UG.
Angelo Gaffo +6 more
wiley +1 more source
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Annual report of the Client Security Fund Committee. 2005. [PDF]
Annual; Began in 2006?; "Pursuant to Practice Book [section] 2-72(e), the following is a report of claims filed with the Client Security Fund Committee during calendar year ..., and on the Committee's activities during ... in connection with claims filed
Connecticut. Client Security Fund Committee.
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PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source

