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Mobile spatial data can now be analyzed for distribution statistics with 100% accuracy while reducing computation overhead by 1.2x and communication overhead by 20x, all without compromising privacy.
Ditching rigid digital twins for adaptable world models could unlock truly intelligent edge computing in 6G networks.
Backdoor attacks can now hide in plain sight: by delaying activation, common words become viable triggers, opening a new, stealthier attack surface in pre-trained models.
Federated learning can supercharge agentic AI in wireless networks by enabling collaborative local learning and parameter sharing, overcoming limitations of centralized architectures.
SemCom's shift to AI-native communication opens doors to subtle semantic attacks that bypass traditional security, demanding a new wave of AI-driven defenses.
