Review for NeurIPS paper: Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Weaknesses: The pseudocode is critical to understanding the proposed approach precisely, however notational inconsistencies make it considerably harder to understand. See comments under "clarity" below. In order for this work to be well motivated, more details need to be provided indicating the real-world scenarios for which it might be helpful, and how constraints or characteristics of those settings are addressed by the algorithm. For example, the description seems to imply all clients participate in every round, which would rule out the application to cross-device FL setting (See [A] Table 1). Similarly, it is worth clarifying whether clients need to maintain state across rounds, which is typically also not possible in cross-device settings.