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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

Na Yao

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#federated learning Dataset Open access Sep 2026

Uncertainty-Aware Bayesian Federated Learning for Low-Resource Neural Machine Translation at the Edge

Edge translation systems must balance limited computation, data locality, and weak performance on low-resource language pairs. This study presents Multitask Bayesian Federated Learning (MT-BayesFL), a multilingual translation framework that combines a lightweight shared encoder, task-specific decoders, matrix-normal posteriors over shared attention projections, and covariance-aware server aggregation.

Na Yao · 0 citations
#federated learning Dataset Open access Sep 2026

Uncertainty-Aware Bayesian Federated Learning for Low-Resource Neural Machine Translation at the Edge

Edge translation systems must balance limited computation, data locality, and weak performance on low-resource language pairs. This study presents Multitask Bayesian Federated Learning (MT-BayesFL), a multilingual translation framework that combines a lightweight shared encoder, task-specific decoders, matrix-normal posteriors over shared attention projections, and covariance-aware server aggregation.

Na Yao · 0 citations

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