2 papers
cs.NE2025
CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
Ziyao Huang, Weiwei Wu, Kui Wu +2
Tackling complex optimization problems often relies on expert-designed heuristics, typically crafted through extensive trial and error. Recent advances demonstrate that large langu…
cs.AI2025
CARE: Compatibility-Aware Incentive Mechanisms for Federated Learning with Budgeted Requesters
Xiang Liu, Hau Chan, Minming Li +3
Federated learning (FL) is a promising approach that allows requesters (\eg, servers) to obtain local training models from workers (e.g., clients). Since workers are typically unwi…