Decentralized multi-agent reinforcement learning with networked agents: recent advances
Towards resilient average consensus in multi-agent systems: a detection and compensation approach
Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid
Matrix-valued distributed stochastic optimization with constraints
Bipartite asynchronous impulsive tracking consensus for multi-agent systems