3 papers
cs.LG2026
Federated Bilevel Performative Prediction
Liangxin Qian, Chang Liu, Xuanyu Cao +2
Federated bilevel optimization is widely used for nested learning problems across distributed clients, such as federated hyperparameter tuning and meta-learning under privacy and c…
cs.DC2024
Resource Allocation for Stable LLM Training in Mobile Edge Computing
Chang Liu, Jun Zhao
As mobile devices increasingly become focal points for advanced applications, edge computing presents a viable solution to their inherent computational limitations, particularly in…
cs.ET2024
User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse over 6G Wireless Communications
Liangxin Qian, Chang Liu, Jun Zhao
The convergence of blockchain, Metaverse, and non-fungible tokens (NFTs) brings transformative digital opportunities alongside challenges like privacy and resource management. Addr…