The bottleneck of distributed edge learning (DEL) over wireless has shifted from computing
to communication, primarily the aggregation-averaging (Agg-Avg) process of DEL. The …

Distributed Machine Learning (DML) systems are utilized to enhance the speed of model
training in data centers (DCs) and edge nodes. The Parameter Server (PS) communication …

With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …

We consider a fifth-generation (5G)-empowered future Industrial IoT (IIoT) networking
problem where IIoT machines are capable of communicating and sharing their data …

Federated learning (FL) trains machine learning (ML) models on devices using locally
generated data and exchanges models without transferring raw data to a distant server. This …

With the growth of model/dataset/system size for distributed model training in datacenters,
the widely used Parameter Server (PS) architecture suffers from communication bottleneck …

The upgrade of network devices to be equipped with multiple network interfaces makes it
possible to improve network throughput performance through multipath transmission …

The most important benefit introduced by multi-path TCP (MPTCP) is its ability of resource
pooling. The congestion control algorithm and the packet scheduler in MPTCP work together …

Multipath TCP (MPTCP), which enables the use of multiple wireless links (eg, Wi-Fi and
LTE) for data transmissions, is an excellent technology for evolving multi-homing devices in …

Numerous applications on the web use transmission control protocol (TCP) as a transport
protocol to ensure efficient and fair sharing of network resources among users. With the …