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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

Ke An

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Preprint Nov 2026

NAS-PO: Native Attention-Strategy Policy Optimization for Vision-Language Models

Reinforcement learning with verifiable rewards (RLVR) has become an effective post-training paradigm for vision-language models (VLMs). Standard RLVR, however, assigns identical outcome-derived credit to all generated tokens regardless of their perceptual relevance. Recent perception-aware methods estimate visual relia...

Ke An, Shi-Zhe Xiang, Yue Liu et al. · 0 citations
Conference Aug 2026

FedDRU: Depth-Aware Residual Client Unlearning for Heterogeneous Federated Learning

Client-level federated unlearning seeks to update an already trained global model so that the influence of a specified client is weakened, while the model remains effective for the remaining clients. Existing methods are mostly designed for homogeneous model settings and often rely on retraining, historical updates, or...

Jing-Yi Leng, Zheng-Yi Zhong, Hai-Lu Xin et al. · 0 citations

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