Different from conventional federated learning, personalized federated
l...
Federated learning (FL) is a prospective distributed machine learning
fr...
In this paper, we propose an augmented subspace based adaptive proper
or...
Edge computing has been getting a momentum with ever-increasing data at ...
Learning pyramidal feature representations is crucial for recognizing ob...
Virtual Reality (VR) has shown great potential to revolutionize the mark...
It is always a challenging problem to deliver a huge volume of videos ov...
Traditional computing hardware often encounters on-chip memory bottlenec...
With storage and computation happening at the same place, computing in
r...
In this paper, we firstly introduce a method to efficiently implement
la...