The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …

Federated Learning (FL) emerged as a significant advancement in the field of Artificial
Intelligence (AI), enabling collaborative model training across distributed devices while …

Finding top-k elephant flows is a critical task in network traffic measurement, with many
applications in congestion control, anomaly detection and traffic engineering. As the line …

Most coding theory experts date the origin of the subject with the 1948 publication of A
Mathematical Theory of Communication by Claude Shannon. Since then, coding theory has …

Space-air-ground integrated networks (SAGINs) provide global information sharing, large-
scale coverage, and ubiquitous collaboration architecture, and alleviate the pressure of …

The paper is devoted to the problem of erasure coding in distributed storage. We consider a
model of storage that assumes that nodes are organized into equally sized groups, called …

Federated learning (FL) has received considerable attention because it allows multiple
devices to train models locally without revealing sensitive data. Well-trained local models …

As an important coding scheme in modern distributed storage systems, locally repairable
codes (LRCs) have attracted a lot of attentions from perspectives of both practical …

The traditional means of ensuring reliability in data storage is to store multiple copies of the
same file in different storage units. Such a replication strategy is clearly inefficient in terms of …

Erasure coding is a known redundancy technique that has been popularly deployed in
modern storage systems to protect against failures. By introducing a small portion of coded …