3 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
An Information-Theoretic Approach to Generalization Theory
Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund
We investigate the in-distribution generalization of machine learning algorithms. We depart from traditional complexity-based approaches by analyzing information-theoretic bounds t…
cs.LG2021★ 3 cited
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Hao Chen, Shaocheng Huang, Deyou Zhang +3
To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique especially for large-scale model trai…