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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

Ji Qi

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Conference Aug 2026

Federated Representation Learning for Heterogeneous Data

Federated learning provides a promising paradigm for collaborative model training among mutually untrusted parties without sharing local data. However, data distributions in real-world federated scenarios are usually heterogeneous, which can significantly degrade global model performance. Existing approaches mainly add...

Ling-Tao Tang, Hao-Tian He, Di Wang et al. · 0 citations
Preprint Aug 2026

RVANNS: Mixed-Precision Indexing and Locality-Aware Graph Traversal on RISC-V

RVANNS is presented, an RVV-oriented ANNS engine that jointly optimizes vector representation and graph locality and achieves 3.39x and 4.94x speedups over scalar execution on real 128-bit and 256-bit RVV processors, respectively.

Cheng-Ying Huan, Yudong Liu, Jian-Guo Wang et al. · 0 citations

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