2 papers
cs.LG2026
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
Run He, Kai Tong, Di Fang +5
In this paper, we introduce analytic federated learning (AFL), a new training paradigm that brings analytical (i.e., closed-form) solutions to the federated learning (FL) with pre-…
cs.CV2025
FID-Net: A Feature-Enhanced Deep Learning Network for Forest Infestation Detection
Yan Zhang, Baoxin Li, Han Sun +3
Forest pests threaten ecosystem stability, requiring efficient monitoring. To overcome the limitations of traditional methods in large-scale, fine-grained detection, this study foc…