4 papers
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…
A Unified Successive Approximation Framework for General Coupled Multiplicative and Fractional Optimization: HM-GM-AM-QM Transforms and Applications
Liangxin Qian, Wenhan Yu, Peiyuan Si +4
Optimization problems in communication networks and information systems often contain coupled multiplicative or fractional terms, such as sum-of-products, sum-of-ratios, and logari…
SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models
Renyang Liu, Kangjie Chen, Han Qiu +4
Image generation models (IGMs), while capable of producing impressive and creative content, often memorize a wide range of undesirable concepts from their training data, leading to…
A Systematic Framework for Tabular Data Disentanglement
Ivan Tjuawinata, Andre Gunawan, Anh Quan Tran +6
Tabular data, widely used in various applications such as industrial control systems, finance, and supply chain, often contains complex interrelationships among its attributes. Dat…