4 papers
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
Fanfei Meng, Chen-Ao Wang, Lele Zhang
The paper provides a comprehensive overview of Neural Architecture Search (NAS), emphasizing its evolution from manual design to automated, computationally-driven approaches. It co…
Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit
Fanfei Meng, Lele Zhang, Yu Chen +1
Transformer requires a fixed number of layers and heads which makes them inflexible to the complexity of individual samples and expensive in training and inference. To address this…
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation
Fanfei Meng, Lele Zhang, Yu Chen +1
Federated learning (FL) is an emerging paradigm for decentralized training of machine learning models on distributed clients, without revealing the data to the central server. The…
Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing
Fanfei Meng, Yuxin Wang, Lele Zhang +1
Spectrum sensing technology is a crucial aspect of modern communication technology, serving as one of the essential techniques for efficiently utilizing scarce information resource…