federated
Foundations
Principles and methods for federated and distributed AI.
- Federated Learning: Concepts and Challenges
- Distributed Reasoning in AI
Relevant Papers:
- SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference
- MetaFL: Privacy-preserving User Authentication in Virtual Reality with Federated Learning
- Federated artificial intelligence with cumulative learning in a computer network
- CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning
- Mohawk: Mobility and heterogeneity-aware dynamic community selection for hierarchical federated learning
The basics of learning and reasoning across distributed systems.