NetMod: Toward Accelerating Cloud RAN Distributed Unit Modulation within Programmable Switches
Radio Access Networks (RAN) are anticipated to gradually transition towards Cloud RAN (C-
RAN), leveraging the full advantages of the cloud-native computing model. While this …
RAN), leveraging the full advantages of the cloud-native computing model. While this …
Function Placement for In-network Federated Learning
Federated learning (FL), particularly when data is distributed across multiple clients, helps
reducing the learning time by avoiding training on a massive pile-up of data. Nonetheless …
reducing the learning time by avoiding training on a massive pile-up of data. Nonetheless …
[PDF][PDF] Function Placement for In-network Federated Learning
S Secci - Computer Networks, 2025 - robertoriggio.net
Federated learning (FL), particularly when data is distributed across multiple clients, helps
reducing the learning time by avoiding training on a massive pile-up of data. Nonetheless …
reducing the learning time by avoiding training on a massive pile-up of data. Nonetheless …
No Worker Left (Too Far) Behind: Dynamic Hybrid Synchronization for In‐Network ML Aggregation
D Cardoso Nunes, B Loureiro Coelho… - … Journal of Network …, 2025 - Wiley Online Library
Achieving high‐performance aggregation is essential to scaling data‐parallel distributed
machine learning (ML) training. Recent research in in‐network computing has shown that …
machine learning (ML) training. Recent research in in‐network computing has shown that …