Ai Generated Content Task

AI-generated content (AIGC) task allocation is a burgeoning research area focusing on efficiently and ethically deploying computationally intensive AIGC models, such as large language models, across distributed computing environments like edge servers and 6G networks. Current research emphasizes optimizing task allocation strategies using techniques like contract theory and multi-agent reinforcement learning to minimize latency and maximize resource utilization, while simultaneously addressing crucial ethical concerns such as adversarial attacks, privacy violations, and fairness biases in AIGC outputs. This work is significant for improving the efficiency and trustworthiness of AIGC applications across various domains, from industrial IoT to teleoperation.