A novel coding design is proposed to enhance information retrieval in a wireless network of
users with partial access to the data, in the sense of observation, measurement …

Distributed edge computing has been advocated as a key enabling technology to tackle
large-scale intelligence applications, which is however hampered by the straggling effect. To …

The ever-increasing scale and complexity of artificial intelligent services have ignited the
recent research interests in distributed edge learning. For better communication rate and …

Driven by the explosive escalation of machine learning applications, considerable efforts
have been devoted to distributed edge learning. To alleviate the so-called straggling issue …

We propose a new coded blockchain scheme suitable for the Internet-of-Things (IoT)
network. In contrast to existing works for coded blockchains, especially blockchain-of-things …

Coded distributed computing, proposed by Li et al., offers significant potential for reducing
the communication load in MapReduce computing systems. In the setting of the\emph …

Coded distributed computing (CDC) introduced by Li et al. can greatly reduce the
communication load for MapReduce computing systems. In the cascaded CDC with workers …

The widespread use of distributed systems has led to a growing concern over their security.
With the increasing number of devices connected to the Internet, the risk of security …

Edge systems are envisioned to provide storage and compute infrastructure at
interoperating edge nodes located near the user. An edge node is orders-of-magnitude …

Coded distributed computing (CDC) can efficiently improve the performance of Map Reduce
by mitigating the effects of straggling servers and decreasing the communication load …