11 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 6 cited
Learning to Share in Multi-Agent Reinforcement Learning
Yuxuan Yi, Ge Li, Yaowei Wang +1
In this paper, we study the problem of networked multi-agent reinforcement learning (MARL), where a number of agents are deployed as a partially connected network and each interact…
cs.IT2021★ 11 cited
Decentralized Federated Learning with Unreliable Communications
Hao Ye, Le Liang, Geoffrey Li
Decentralized federated learning, inherited from decentralized learning, enables the edge devices to collaborate on model training in a peer-to-peer manner without the assistance o…
cs.DC2015
Fair Packet Scheduling in Network on Chip
Zhuang Wang, Xiao Lv, Mingyu Yan +2
Interconnection networks of parallel systems are used for servicing traf- fic generated by different applications, often belonging to different users. When multiple traffic flows c…