CODES+ISSS 2022
who it's for
embedded systems engineers, embedded hardware engineers, machine learning on edge engineers, security engineers, FPGA designers, storage systems engineers, systems researchers
topics
emerging embedded memories and storage; intermittent computing for embedded; PUF-based hardware authentication; machine learning acceleration for embedded; stateful TinyML inference; ReRAM crossbar mapping; processing-in-memory accelerators; mapping-transfer for MPSoCs; generative adversarial hardware configuration; thermal covert channels and defenses; remote direct access controller on FPGA; federated learning for IoT devices