most citedFedMeS: Personalized Federated Continual Learning Leveraging Local Memory

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cs.LG2024★ 1 cited

FedMeS: Personalized Federated Continual Learning Leveraging Local Memory

Jin Xie, Chenqing Zhu, Songze Li

We focus on the problem of Personalized Federated Continual Learning (PFCL): a group of distributed clients, each with a sequence of local tasks on arbitrary data distributions, co…

cs.LG2022

Targets in Reinforcement Learning to solve Stackelberg Security Games

Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel +3

Reinforcement Learning (RL) algorithms have been successfully applied to real world situations like illegal smuggling, poaching, deforestation, climate change, airport security, et…