Results 61 to 70 of about 549,878 (269)
Noiseless Privacy-Preserving Decentralized Learning [PDF]
Decentralized learning (DL) enables collaborative learning without a server and without training data leaving the users' devices. However, the models shared in DL can still be used to infer training data.
Biswas, Sayan +6 more
core +1 more source
Based on model randomization and adaptive defense for federated learning schemes
Scientific ReportsFederated Learning (FL) is a privacy-enhancing technique that enables multiple participants to collaboratively train machine learning models without sharing their local data.
Gaofeng Yue, Xiaowei Han
doaj +1 more source
Towards Efficient, Secure, and Fine-Grained Access Control System in MSNs with Flexible Revocations
International Journal of Distributed Sensor Networks, 2015 With the pervasiveness of mobile communications, MSNs have become a promising networking paradigm for users to share contents with others through mobile devices. This convenience comes at the cost of some serious security and privacy issues. In this work,
Shi-Feng Sun +4 more
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti +16 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Advanced Functional Materials, EarlyView.Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
ACE: A Consent-Embedded privacy-preserving search on genomic database
HeliyonIn this paper, we introduce ACE, a consent-embedded searchable encryption scheme. ACE enables dynamic consent management by supporting the physical deletion of associated data at the time of consent revocation. This ensures instant real deletion of data,
Sara Jafarbeiki +5 more
doaj +1 more source
M-SSE: An Effective Searchable Symmetric Encryption With Enhanced Security for Mobile Devices
IEEE Access, 2018 Searchable encryption allows mobile devices with limited computing and storage resources to outsource data to an untrusted cloud server. Users are able to search and retrieve the outsourced data; however, it suffers from information and privacy leakage ...
Chongzhi Gao +5 more
doaj +1 more source