Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers.
Yuhao YiRonghui YouHong LiuChangxin LiuYuan WangJiancheng LvPublished in: CoRR (2023)
Keyphrases
- distributed learning
- outlier detection
- clustering algorithm
- data points
- clustering method
- collaborative learning
- cluster analysis
- k means
- data clustering
- arbitrary shape
- knowledge integration
- detecting outliers
- association rules
- rule sets
- spectral clustering
- categorical data
- unsupervised learning
- knowledge discovery
- association rule mining
- data mining
- hierarchical clustering
- rank aggregation