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Found 6 papers, 0 papers with code
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning
Then, it randomly chooses latent codes from the latent probability distribution for recovering the private data.
Federated Learning for Metaverse: A Survey
In this paper, we review some of the early advances of FL4M, which will be a research direction with unlimited development potential.
Federated Learning Attacks and Defenses: A Survey
For the purpose of advancing the research in this field, building a robust FL system, and realizing the wide application of FL, this paper sorts out the possible attacks and corresponding defenses of the current FL system systematically.
Contrast Pattern Mining: A Survey
Contrast pattern mining (CPM) is an important and popular subfield of data mining.
Towards Target High-Utility Itemsets
In this paper, we address this issue by proposing a novel list-based algorithm with pattern matching mechanism, named THUIM (Targeted High-Utility Itemset Mining), which can quickly match high-utility itemsets during the mining process to select the targeted patterns.
Smart System: Joint Utility and Frequency for Pattern Classification
Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems.
