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Found 3 papers, 2 papers with code
Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain
Specifically for malware detection task, (i) we propose a novel user (local) neural network (LNN) which trains on local distribution and (ii) then to assure the model authenticity and quality, we propose a novel smart contract which enable aggregation process over blokchain platform.
Virtual Gang based Scheduling of Real-Time Tasks on Multicore Platforms
Our approach is based on the notion of a virtual-gang, which is a group of parallel real-time tasks that are statically linked and scheduled together by a gang scheduler.
Operating Systems Distributed, Parallel, and Cluster Computing
RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems
In this paper, we present RT-Gang: a novel real-time gang scheduling framework that enforces a one-gang-at-a-time policy.
Distributed, Parallel, and Cluster Computing
