Beyond Decision-Ready Microservices: Why Cloud-Native Platforms Must Learn Too

Organizations that build platforms that “learn before acting” will spend less time firefighting and more time shipping ...
IEEE

Enhancing Long-Term Cloud Workload Forecasting Framework: Anomaly Handling and Ensemble Learning in Multivariate Time Series

Abstract: Forecasting workloads and responding promptly with resource scaling and migration is critical to optimizing operations and enhancing resource management in cloud environments. However, the ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
IEEE

Joint Adaptive Aggregation and Resource Allocation for Hierarchical Federated Learning Systems Based on Edge-Cloud Collaboration

Abstract: Hierarchical federated learning shows excellent potential for communication-computation trade-offs and reliable data privacy protection by introducing edge-cloud collaboration. Considering ...