12 citations · 19 across the 6 of their papers we have counts for
3 papers · 1 filter
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
Martino Chiarani, Swastika Roy, Christos Verikoukis +1
In recent years, network slicing has embraced artificial intelligence (AI) models to manage the growing complexity of communication networks. In such a situation, AI-driven zero-to…
Federated Machine Reasoning for Resource Provisioning in 6G O-RAN
Swastika Roy, Hatim Chergui, Adlen Ksentini +1
O-RAN specifications reshape RANs with function disaggregation and open interfaces, driven by RAN Intelligent Controllers. This enables data-driven management through AI/ML but pos…
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
Swastika Roy, Hatim Chergui, Christos Verikoukis
Sixth-generation (6G) networks anticipate intelligently supporting a massive number of coexisting and heterogeneous slices associated with various vertical use cases. Such a contex…