Foundations

• 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.