IEEE Kharagpur Section

Talk on "Software-Defined Networking for Edge AI" by Dr. Ayan Mondal, Assistant Professor, IIT Indore We plan to explore how Software-Defined Networking (SDN) can transform Edge AI applications. SDN is capable of centralized control and programmable network infrastructure to facilitate dynamic resource allocation, increased network efficiency, and reduced latency, which are important for real-time AI processing. SDN separates the control from the data plane, thus enabling flexible and agile configurations of networks that handle complex workloads in terms of network configurations. In the NEST research group, we focus on the interaction between SDNs, edge devices, and AI models with a view toward the optimization of data flow and computational tasks within distributed environments. We are working towards improving the performance, scalability, and reliability of SDN-driven Edge AI with real-life examples such as autonomous vehicles, smart cities, and industrial IoT. In this talk, I will focus on how SDN eliminates hindrances to traditional networks, leading to the creation of novel AI-powered solutions and fueling rapid technological growth in industries. Speaker(s): , Dr. Ayan Mondal Virtual: https://events.vtools.ieee.org/m/430706