A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Proposes efficient privacy-preserving machine learning for blockchain networks, addressing scalability and confidentiality challenges in decentralized applications.
Ana Reyna, Cristian Martín, Jaime Chen, et al.
This paper surveys the integration of blockchain with IoT, analyzing challenges and opportunities for enhancing security and data reliability in distributed IoT environments.
Yunlong Lu, Xiaohong Huang, Yueyue Dai, et al.
Integrates federated learning into permissioned blockchain consensus to enable privacy-preserved data sharing for Industrial IoT.
Michael Rogerson, Glenn Parry
This paper uses qualitative case studies to show blockchain enhances supply chain visibility and trust, but faces challenges in technology trust, human error, governance, and consumer willingness to pay.
Tri Nguyen, Risto Katila, Tuan Nguyen Gia
This paper studies the feasibility of an Internet-of-Drones system using blockchain and AI at the edge to improve search and rescue quality of service.
Vikas Hassija, Vinay Chamola, Vikas Saxena, et al.
This survey reviews IoT security challenges and solutions, focusing on blockchain, fog computing, edge computing, and machine learning to achieve end-to-end secure IoT environments.