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: AAAI (2024)
Keyphrases
- classification rules
- distributed learning
- rule sets
- outlier detection
- association rules
- clustering algorithm
- k means
- data points
- knowledge integration
- collaborative learning
- clustering method
- data clustering
- hierarchical clustering
- document clustering
- rank aggregation
- distributed learning environments
- data mining
- detecting outliers
- arbitrary shape
- spectral clustering
- association rule mining
- high dimensional data
- decision making
- machine learning