Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning.
Yanna JiangBaihe MaXu WangGuangsheng YuCaijun SunWei NiRen Ping LiuPublished in: Neurocomputing (2024)
Keyphrases
- learning scheme
- learning algorithm
- learning mechanism
- theoretical framework
- learning process
- prior knowledge
- distributed learning
- supervised learning
- knowledge acquisition
- learning systems
- conceptual framework
- learning frameworks
- adaptive filtering
- main contribution
- learning tasks
- learning problems
- data sets
- digital libraries
- combining multiple
- dynamic bayesian networks
- adaptive control
- reinforcement learning
- learning capabilities
- probabilistic model
- data model