Deep neural models, in recent years, have been successful in almost every field, even
solving the most complex problem statements. However, these models are huge in size with …

Federated learning (FL) enables edge-devices to collaboratively learn a model without
disclosing their private data to a central aggregating server. Most existing FL algorithms …

摘要在人工智能迅速发展的今天, 深度神经网络广泛应用于各个研究领域并取得了巨大的成功,
但也同样面临着诸多挑战. 首先, 为了解决复杂的问题和提高模型的训练效果 …

Actor-critic methods of deep reinforcement learning are widely used to address continuous
control tasks. However, the difficulty in balancing exploration and exploitation, as well as the …