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Trusted ai in multiagent systems: An overview of privacy and security for distributed learning
Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …
as well as the increasing concerns about sharing private data, there has been considerable …
Enabling and emerging technologies for social distancing: a comprehensive survey and open problems
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
User-level privacy-preserving federated learning: Analysis and performance optimization
Federated learning (FL), as a type of collaborative machine learning framework, is capable
of preserving private data from mobile terminals (MTs) while training the data into useful …
of preserving private data from mobile terminals (MTs) while training the data into useful …
Blockchain assisted decentralized federated learning (BLADE-FL): Performance analysis and resource allocation
Federated learning (FL), as a distributed machine learning paradigm, promotes personal
privacy by local data processing at each client. However, relying on a centralized server for …
privacy by local data processing at each client. However, relying on a centralized server for …
Low-latency federated learning over wireless channels with differential privacy
In federated learning (FL), model training is distributed over clients and local models are
aggregated by a central server. The performance of uploaded models in such situations can …
aggregated by a central server. The performance of uploaded models in such situations can …
A triple real-time trajectory privacy protection mechanism based on edge computing and blockchain in mobile crowdsourcing
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …
A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
Privacy protection federated learning system based on blockchain and edge computing in mobile crowdsourcing
With the rapid popularization and development of the Internet of Things (IoT) and 5G
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …
networks, mobile crowdsourcing (MCS) has become an indispensable part in today's …
A novel exploitative and explorative GWO-SVM algorithm for smart emotion recognition
Emotion recognition or detection is broadly utilized in patient–doctor interactions for
diseases, such as schizophrenia and autism and the most typical techniques are speech …
diseases, such as schizophrenia and autism and the most typical techniques are speech …
When AI meets information privacy: The adversarial role of AI in data sharing scenario
Artificial intelligence (AI) is a transformative technology with a substantial number of practical
applications in commercial sectors such as healthcare, finance, aviation, and smart cities. AI …
applications in commercial sectors such as healthcare, finance, aviation, and smart cities. AI …