Addressing Data Scarcity and Distribution Shifts in AI-Driven Networks!
5G & beyond demand high reliability, low latency, and massive throughput, making AI-powered network management essential. But there’s a challenge—ML models require vast labeled datasets, which are costly and time-consuming to collect.
How do we solve this? Our team supported by 6G-XCEL project researched Pre-trained Transformers & Transfer Learning to address data scarcity and adapt to distribution shifts, enabling smarter, more efficient communication networks. See the detailed results in poster presented at AAAI Urban Planning Workshop https://lnkd.in/dSWmzjDD