FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning

no code implementations • 14 Apr 2024 • Changlin Song, Divya Saxena, Jiannong Cao, Yuqing Zhao

This paper introduces FedDistill, a framework enhancing the knowledge transfer from the global model to local models, focusing on the issue of imbalanced class distribution.

Federated Learning Transfer Learning

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

no code implementations • 28 Feb 2024 • Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An

Notably, FinAgent is the first advanced multimodal foundation agent designed for financial trading tasks.

MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency

no code implementations • 23 Oct 2023 • Xiaoyun Liu, Divya Saxena, Jiannong Cao, Yuqing Zhao, Penghui Ruan

However, existing DAS methods fail to trade off between model performance and model size.

Neural Architecture Search

AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets

1 code implementation • 22 Jul 2022 • Yuqing Zhao, Divya Saxena, Jiannong Cao

Managing heterogeneous datasets that vary in complexity, size, and similarity in continual learning presents a significant challenge.

Continual Learning Transfer Learning