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cs.LG2025
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Yuxiao Wang, Di Wu, Feng Liu +2
This paper proposes a composable fine-tuning method that integrates graph structural priors with modular adapters to address the high computational cost and structural instability…
cs.LG2025
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
Qingyuan Zhang, Ning Lyu, Le Liu +3
This study addresses the problem of anomaly detection and root cause tracing in microservice architectures and proposes a unified framework that combines graph neural networks with…
cs.LG2025
Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
Ning Lyu, Yuxi Wang, Ziyu Cheng +2
As cloud computing and microservice architectures become increasingly prevalent, API rate limiting has emerged as a critical mechanism for ensuring system stability and service qua…