Jun 27, 2024 · Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults.

Jan 4, 2023 · Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults.

Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults.

Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults. Since its introduction by ...

This paper investigates the gap in terms of requirements and efficiency when considering a directed graph instead of an undirected one as network topology ...

Nov 28, 2024 · This paper studies fractional-order neural networks with neutral-type delay, leakage delay, and time-varying delays. A sufficient condition ...

Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults.

This paper studies both output and state synchronization problems for multi-agent systems with agents that are identical and coupled through a network with ...

Self-stabilization is a general paradigm that characterizes the ability of a distributed system to recover from transient faults. Since its introduction by ...

Both solutions stabilize in O(3) rounds. To the best of our knowledge, self-stabilizing synchronous unison in directed networks has been only considered in ...