… This paper investigated the wireless federated learning network constrained by a latency, …
upload under the latency constraint, in order to accelerate the federated learning process. By …

… tional centralized training methods in wireless networks [5]. To … model training framework
called Federated Learning (FL) [6], … can reduce the model training latency as well as preserving …

… learning and offloading process through its delay and energy consumption, and then we
define the joint delay and energy minimization problem as a constrained … given a target delay …

… have investigated the FL latency and communication security in the FL network. In … latency.
Thus, we have formulated an optimization problem that minimizes the FL latency constrained …

… latencies or imposing a probabilistic constraint to maintain small queue lengths. Although
such a probabilistic constraint on the queue length improves network … As a result, if the network …

Federated learning (FL) is a distributed machine learning strategy that generates a global
model by learning from multiple decentralized edge clients. FL enables on-device …

… as federated learning [8]–[10]. We focus on gradient-descent based federated learning
algorithms, which have general applicability to a wide range of machine learning models. The …

… The dropout rate of each device is adapted to the assigned device’s C2 state under a per-round
latency constraint for FL with synchronized updating. Let pk denote the dropout rate of …

… 1) We formulate the problem of reducing training latency of FL … the training latency until the
latency reduction is acceptable. … on the devices in FL under the constraint of training latency. …

… Fog nodes in the FogFL framework reduce communication latency and energy consumption
of resource-constrained edge devices without affecting the global model’s convergence rate…