4 papers
Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity
Ping Luo, Jiahuan Wang, Ziqing Wen +2
Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, yet its stability is fundamentally challenged by statistical heter…
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Mengkang Hu, Yuhang Zhou, Wendong Fan +13
Large Language Model (LLM)-based multi-agent systems show promise for automating real-world tasks but struggle to transfer across domains due to their domain-specific nature. Curre…
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
Jinping Zou, Xiaoge Deng, Tao Sun
Sharpness-Aware Minimization (SAM) has proven highly effective in improving model generalization in machine learning tasks. However, SAM employs a fixed hyperparameter associated w…
Federated Prediction-Powered Inference from Decentralized Data
Ping Luo, Xiaoge Deng, Ziqing Wen +2
In various domains, the increasing application of machine learning allows researchers to access inexpensive predictive data, which can be utilized as auxiliary data for statistical…