2 papers
cs.AI2026
AlphaCrafter: Harnessing Multi-Agent Workflows for Cross-Sectional Quantitative Trading
Yishuo Yuan, Jiayi Sheng, Sirui Zeng +2
Quantitative trading agents have demonstrated substantial promise in automating factor discovery, signal aggregation, and portfolio execution. However, existing agent-based trading…
cs.LG2026
FedeKD: Energy-Based Gating for Robust Federated Knowledge Distillation under Heterogeneous Settings
Quang-Huy Nguyen, Jiaqi Wang, Wei-shinn Ku
Federated learning (FL) operates in heterogeneous environments, where variations in data distributions and asymmetric model design often result in negative transfer. While federate…