Search Results for author:
Found 4 papers, 0 papers with code
Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding
We then auto-completed the 176 SCs again and found that our approach could identify 62% of the code to be generated as vulnerable and avoid generating 67% of them, indicating the approach could efficiently and effectively avoid vulnerabilities in the auto-completed code.
A Systematic Literature Review on Client Selection in Federated Learning
With the arising concerns of privacy within machine learning, federated learning (FL) was invented in 2017, in which the clients, such as mobile devices, train a model and send the update to the centralized server.
Consensus in Blockchain Systems with Low Network Throughput: A Systematic Mapping Study
Blockchain technologies originate from cryptocurrencies.
Performance Computational Complexity Distributed, Parallel, and Cluster Computing
Testing and verification of neural-network-based safety-critical control software: A systematic literature review
Objective: With the increase in studies on the T&V of NN-based control software in safety-critical domains, it is important to systematically review the state-of-the-art T&V methodologies, to classify approaches and tools that are invented, and to identify challenges and gaps for future studies.
