Federated Learning (FL) has emerged as a decentralised machine learning paradigm for
distributed systems, particularly in edge and IoT environments. However, ensuring fault …

In distributed computing, to select a leader is an essential problem for research discussion.
Without a leader, many applications in a distributed system are unable to communicate, take …

In distributed computing systems, if an elected leader node fails, the other nodes of the
system need to elect another leader. The bully algorithm is a classical approach for electing …

Electing leader is a vital issue not only in distributed computing but also in communication
network [1, 2, 3, 4, 5], centralized mutual exclusion algorithm [6, 7], centralized control IPC …

The process of selecting a leader to avoid instability in distributed system network after
leader failure is called Leader Election Algorithm (LEA). This process becomes more …

In distributed system, a job is divided into sub jobs and distributed among the active nodes
in the network; communication happens between these nodes via messages passing. For …

A distributed system is the collection of different nodes distributed independently to solve a
common agreed problem. The bully algorithm is used to establish communication within the …

P2P-based social networking services are severely challenged by churn and the lack of
reliable service providers, especially considering the high frequency of posts and profile …

The paper presents the problem of a simulation of the greenhouse gases emission permits
market where only low accuracy emission amounts are known. An organization of the …

As autonomous driving systems mature, the importance of fault tolerance to provide safe
operation even in hazardous conditions becomes a key issue in deployment. In an …