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🔥 PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
Large language model (LLM) agents face a structural tension: cloud agents provide strong reasoning but expose user data, while …
arXiv May, 2026
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🔥 PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
🔥 Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
Large language models (LLMs) are transforming society, powering applications from smartphone assistants to autonomous driving. Yet …
arXiv May, 2026
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🔥 Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
Multi-agent large language model (LLM) systems often rely on a controller to coordinate a pool of heterogeneous models, yet existing …
arXiv May, 2026
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Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
Next-Generation LLM for UAV: From Natural Language to Autonomous Flight
With the rapid advancement of Large Language Models (LLMs), their capabilities in various automation domains, particularly Unmanned …
arXiv September, 2025
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Next-Generation LLM for UAV: From Natural Language to Autonomous Flight
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
Remote sensing semantic segmentation (RSS) is an essential technology in earth observation missions. Due to concerns over geographic …
arXiv December, 2024
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Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
Federated learning (FL) has become a cornerstone in decentralized learning, where, in many scenarios, the incoming data distribution …
arXiv November, 2024
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Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?