Search Results for author:
Found 3 papers, 1 papers with code
Provably Convergent Federated Trilevel Learning
To address the aforementioned challenges, this paper proposes an asynchronous federated trilevel optimization method to solve TLO problems.
Asynchronous Distributed Bilevel Optimization
Bilevel optimization plays an essential role in many machine learning tasks, ranging from hyperparameter optimization to meta-learning.
KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
The main idea of our method is that the KD technique is leveraged to transfer the knowledge from a "teacher" model to a "student" model when exploiting LSQ to quantize that "student" model during the quantization training process.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
