A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy.
Kaan OzkaraAntonious M. GirgisDeepesh DataSuhas N. DiggaviPublished in: ICLR (2023)
Keyphrases
- learning algorithm
- computational complexity
- noise tolerant
- learning frameworks
- prior knowledge
- mathematical foundations
- theoretical framework
- statistics and machine learning
- information theory
- data mining
- conceptual framework
- learning scheme
- online learning
- learning problems
- statistical analysis
- adaptive learning
- kernel machines
- supervised learning
- data structure
- learning systems
- privacy preserving
- linear algebra
- machine learning