Collaborative multi-agent reinforcement learning (MARL) has been widely ...
Keyword spotting (KWS) aims to discriminate a specific wake-up word from...
Federated learning faces huge challenges from model overfitting due to t...
Federated Learning (FL) fuses collaborative models from local nodes with...
Federated learning (FL) is widely used in the Internet of Things (IoT),
...
In federated learning (FL), clients may have diverse objectives, merging...
High mobility channel estimation is crucial for beyond 5G (B5G) or 6G
wi...
Midterm stock price prediction is crucial for value investments in the s...
This paper is concerned with estimation of multiple frequencies from
inc...
This paper concerns the problem of estimating multidimensional (MD)
freq...
In this paper, we consider a passive radar system that estimates the
pos...