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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

Ming-Jun Xiao

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Book Open access Aug 2026

HeimdaLLM: Efficient Cloud-assisted Federated Fine-tuning with Zeroth-Order Rectification for LLMs

Large Language Models (LLMs) have achieved remarkable success in NLP tasks, but fine-tuning them on resource-constrained mobile devices remains challenging due to prohibitive memory and computation requirements. Federated Learning (FL) enables privacy-preserving distributed fine-tuning, yet conventional approaches, inc...

He Sun, Jinrui Zhou, Li Li et al. · 0 citations
Book Open access Aug 2026

HeimdaLLM: Efficient Cloud-assisted Federated Fine-tuning with Zeroth-Order Rectification for LLMs

HeimdaLLM is a cloud-assisted federated fine-tuning framework that combines ZOO with Gradient Rectification (ZGR) and reduces memory footprint for client devices, achieves up to 8.8× faster convergence than the baselines, and improves accuracy by up to 10% over state-of-the-art ZOO methods.

He Sun, Jinrui Zhou, Li Li et al. · 0 citations

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