Search Results for author:
Found 4 papers, 0 papers with code
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems
To date, FaultProfIT has analyzed 10, 000+ incidents from 30+ cloud services, successfully revealing several fault trends that have informed system improvements.
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Federated learning (FL) inevitably confronts the challenge of system heterogeneity in practical scenarios.
Log-based Anomaly Detection based on EVT Theory with feedback
System logs play a critical role in maintaining the reliability of software systems.
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
In this study, we propose an FL method called Federated Intermediate Layers Learning (FedIN), supporting heterogeneous models without relying on any public dataset.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
