Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Lianbo Ma

h-index 6 View on Semantic Scholar

We have 4 of 42 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#federated learning Nov 2026

UOIM: Online Incentive Design for Fair Hierarchical Federated Learning and Unlearning in Edge Computing

Hierarchical Federated Learning (HFL) has emerged as a promising evolution of Federated Learning (FL) where a shared model is learned collaboratively via hierarchical aggregation, and it requires federated unlearning to protect users’ right to be forgotten in the training process. However, most existing designs neglect...

Ying Qian, Lian-Bo Ma, Guo Yu et al. · 0 citations
#edge computing Oct 2026

Optimizing Task Offloading in NOMA-Enhanced MEC Systems via Large Model-Assisted Reinforcement Learning

Mobile edge computing effectively reduces delay and improves the system efficiency by offloading computing tasks. However, the standard communication channel, Orthogonal Frequency Division Multiple Access (OFDMA), is difficult to support large-scale connections in dense networks. Meanwhile, existing task offloading met...

Yang Xia, Min-Cong Chen, Qiang He et al. · 0 citations
Open access Aug 2026

End-to-End Graph-Embedded Reinforcement Learning for Solving the Shortest Path Problem with Constraints

This study introduces E2E_GERL, a novel end-to-end graph-embedded reinforcement learning algorithm for the time-constrained SPP, which achieves better results with substantially lower inference time than classical and NCO baselines, which also validate the potential of integrating NCO into constrained optimization prob...

Shu-Hao Yang, Min Huang, Shengxiang Yang et al. · 0 citations
#edge computing Sep 2026

Energy-Efficient Task Allocation for Green Aerial Edge Computing Based on Metaverse Users: A Mean Field Game Approach

We consider the energy-constrained task allocation problem in large-scale Aerial Edge Computing (AEC) systems, which encompasses a series of tightly coupled decision-making processes, including which tasks need to be processed by uncrewed aerial vehicles (UAVs), how to allocate these tasks and balance energy across UAV...

Lianbo Ma, Ding-Xuan Chen, Yuee Zhou et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.