research
∙
03/03/2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Federated learning (FL) is a machine learning (ML) approach that allows ...
share
research
∙
02/20/2023
Federated Learning for ASR based on Wav2vec 2.0
This paper presents a study on the use of federated learning to train an...
research
∙
05/25/2022
Sparse*BERT: Sparse Models are Robust
Large Language Models have become the core architecture upon which most ...
research
∙
03/14/2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
Pre-trained Transformer-based language models have become a key building...
research
∙
04/25/2019
Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation
It is important to find the target as soon as possible for search and re...
research
∙
07/28/2012
Model-Lite Case-Based Planning
There is increasing awareness in the planning community that depending o...
research
∙
04/27/2011
Synthesizing Robust Plans under Incomplete Domain Models
Most current planners assume complete domain models and focus on generat...
research
∙
01/12/2011
