In this paper, we propose to solve a regularized distributionally robust...
Newton-type methods are popular in federated learning due to their fast
...
Split-learning (SL) has recently gained popularity due to its inherent
p...
Today's intelligent applications can achieve high performance accuracy u...
In this paper, we propose an energy-efficient federated meta-learning
fr...
Wirelessly streaming high quality 360 degree videos is still a challengi...
This article deals with the problem of distributed machine learning, in ...
In this paper, we propose a communication-efficiently decentralized mach...
Machine learning (ML) is a promising enabler for the fifth generation (5...
Wireless connectivity is instrumental in enabling scalable federated lea...
Notwithstanding the significant traction gained by ultra-reliable and
lo...
Vehicle-to-everything (V2X) communication is a growing area of communica...
This article proposes a communication-efficient decentralized deep learn...
In this paper, we propose a communication-efficient decentralized machin...
When the data is distributed across multiple servers, efficient data exc...
Devices at the edge of wireless networks are the last mile data sources ...
One of the 5G promises is to provide Ultra Reliable Low Latency
Communic...
Age of Information (AoI) measures the freshness of the information at a
...
In this paper, we propose a preference-aware cooperative video streaming...
In this paper, we propose an algorithm based on the Alternating Minimiza...
In this paper, we study the problem of Quality of Experience (QoE) aware...
In this paper, we explore streaming video over HTTP. The problem is
form...
Video streaming today accounts for up to 55% of mobile traffic. In this
...
Video streaming today accounts for up to 55% of mobile traffic. In this
...
This paper explores the benefit of using some of the machine learning
te...
Most client hosts are equipped with multiple network interfaces (e.g., W...