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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

George Popescu-Craiova

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Conference Open access 2026

ORCHID-FL: On-Device Relationship-Aware Contextual Handling of Information via Decentralized Federated Learning

ORCHID-FL is proposed, an on-device, language-mediated privacy agent that combines tag-grounded perception, a promptable LLM that proposes sharing decisions, and a deterministic rule engine that retains final authority to adapt to evolving social and institutional norms without centralising sensitive data.

George Popescu-Craiova · 0 citations
Conference Open access 2026

TrusTEE: Storage-Centric Secure Federated Learning with Trusted Execution and Policy Enforcement

TrusTEE is introduced, an end-to-end hardware-backed confidential federated learning system that combines cloud Trusted Execution Environments (TEEs) with user-controlled, policy-enforced object storage and evaluates TrusTEE using the FLAIR dataset to show that confidential aggregation can be achieved while preserving standard federated learning dynamics.

George Popescu-Craiova, M. Fernández · 0 citations

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