Quality of Experience (QoE)-driven adaptive bitrate (ABR) algorithms are...
Modeling powerful interactions is a critical challenge in Click-through ...
In this paper, we investigate the recent studies on multimedia edge
comp...
Video transmission services adopt adaptive algorithms to ensure users'
d...
Federated learning (FL) refers to the learning paradigm that trains mach...
Human beings are able to master a variety of knowledge and skills with
o...
Federated Averaging (FedAvg) serves as the fundamental framework in Fede...
Federated learning (FL) enables on-device training over distributed netw...
Learning-based Adaptive Bit Rate (ABR) method, aiming to learn outstandi...
Video caching has been a basic network functionality in today's network
...
Existing reinforcement learning(RL)-based adaptive bitrate(ABR) approach...
Adaptive bitrate (ABR) streaming enables video users to adapt the playin...
Adaptive bitrate streaming enables video users to adapt their playing
bi...
Due to the fluctuation of throughput under various network conditions, h...
Real-time video streaming is now one of the main applications in all net...
Rate control is widely adopted during video streaming to provide both hi...
The emergence of smart Wi-Fi APs (Access Point), which are equipped with...
In this paper, we propose a novel binary-based cost computation and
aggr...