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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

Liang Zhao

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Open access Oct 2026

Multi-Agent Reinforcement Learning for Joint Task Offloading and Migration in UAV Swarm Wireless Networks

MAPPO-QM is developed, a multi-agent reinforcement learning method based on Multi-Agent Proximal Policy Optimization that explicitly incorporates queueing dynamics and a rule-based migration mechanism triggered at migration points, indicating that queue-aware task waiting and migration can improve service availability...

Xiao-Long Li, Fei Hao, Liang Wang et al. · 0 citations
Conference Aug 2026

Res-LDAMP: Residual Deep Unfolding for Robust Beamspace Channel Estimation

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) enable high data rates but rely on accurate channel state information (CSI) for efficient beamforming and data transmission. Approximate message passing (AMP) and learned variants (LAMP/LDAMP) suffer from performance degradation under high sparsity...

Farhan M. A. Nashwan, Halah Hassen Aldumaini, Khaled A. Al Soufy et al. · 0 citations
#federated learning Oct 2026

BioMutFed+: Mutation-Driven Federated Learning for IIoT

The evolution towards Industry 5.0 underscores the critical need for privacy-preserving and human-centric technologies within Industrial Internet of Things (IIoT) ecosystems. Federated Learning (FL), an essential framework enabling decentralized model training while safeguarding data privacy, continues to encounter sig...

Raiha Tallat, Xing-Fu Wang, Ammar Hawbani et al. · 1 citation

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