Results 61 to 70 of about 96,144 (271)
Research on federated learning approach based on local differential privacy
Tongxin xuebao, 2022 As a type of collaborative machine learning framework, federated learning is capable of preserving private data from participants while training the data into useful models.Nevertheless, from a viewpoint of information theory, it is still vulnerable for ...
Haiyan KANG, Yuanrui JI
doaj +2 more sources
Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Mathematics, 2023 Federated learning is a promising technique in cloud computing and edge computing environments, and designing a reasonable resource allocation scheme for federated learning is particularly important.
Linjie Liu +3 more
doaj +1 more source
The GLASS project: supporting secure shibboleth-based single sign-on to campus resources [PDF]
, 2007 Higher and Further education institutions in the UK are in the process of migrating their IT infrastructures to exploit Shibboleth technologies for federated access management. Ease of use and secure access are paramount to the successful uptake of these
Jiang, J., Sinnott, R.O., Watt, J.
core +2 more sources
Due to its distributed methodology alongside its privacy-preserving features, Federated Learning (FL) is vulnerable to training time adversarial attacks. In this study, our focus is on backdoor attacks in which the adversary's goal is to cause targeted misclassifications for inputs embedded with an adversarial trigger while maintaining an acceptable ...
Omid Aramoon +3 more
openaire +2 more sources
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Sensors, 2022 As promising privacy-preserving machine learning technology, federated learning enables multiple clients to train the joint global model via sharing model parameters.
Zunming Chen +3 more
doaj +1 more source
Federated AI for building AI Solutions across Multiple Agencies [PDF]
, 2018 The different sets of regulations existing for differ-ent agencies within the government make the task of creating AI enabled solutions in government dif-ficult. Regulatory restrictions inhibit sharing of da-ta across different agencies, which could be a
Cirincione, Greg +2 more
core +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
A dynamic incentive and reputation mechanism for energy-efficient federated learning in 6G
Digital Communications and Networks, 2023 As 5G becomes commercial, researchers have turned attention toward the Sixth-Generation (6G) network with the vision of connecting intelligence in a green energy-efficient manner.
Ye Zhu +3 more
doaj +1 more source