IEEE

Communication Efficient Federated Learning with Quantization-Aware Training Design

Model quantization is an effective method that can improve communication efficiency in federated learning (FL). The existing FL quantization protocols almost stay at the level of post-training ...
IEEE

TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators

Abstract: There is increasing demand for specialized hardware for training deep neural networks (DNNs), both in edge/IoT environments and in high-performance computing systems. The design space of ...