Initialization and Rate-Quality Functions for Generative Network Layer Protocols

This collection of papers describes advances for 6G/space-air-ground networks, GenAI-assisted in-network compression, federated multi-agent DRL for dynamic spectrum slicing, agentic LLM-based beam prediction for UAV mmWave links, cross-view visual localization in SAGIN, and a Radio Radiance Field (RRF) spatial-channel representation. Security-relevant risks include privacy leakage and model inversion from distributed learning and split-inference, poisoning and backdoor attacks against federated/online learning, adversarial/sensor-spoofing inputs to agentic LLM-based control loops (leading to m