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Found 8 papers, 1 papers with code
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the central network, incorporating edge nodes close to end devices.
HARQ Retransmissions in C-V2X: A BSM Latency Analysis
This paper studies BSM transmission latency and reliability when HARQ retransmissions are used with the semi-persistent scheduling (SPS) in C-V2X transmission mode 4.
Study of BSM Inter-Packet Gap Tails in C-V2X Networks
We study the improvements and trade-offs introduced by SAE one-shot transmission to decrease the number of successive BSM losses at destination VUEs.
Master Equation for Discrete-Time Stackelberg Mean Field Games with single leader
First, we consider an epidemic model where the followers get infected based on the mean field population.
Interleaved One-shot Semi-Persistent Scheduling for BSM Transmissions in C-V2X Networks
Hence, it is essential to ensure small inter-packet gaps (IPGs) between successive BSMs from nearby VUEs.
Faithful Edge Federated Learning: Scalability and Privacy
To this end, we formulate the first faithful implementation problem of federated learning and design two faithful federated learning mechanisms which satisfy economic properties, scalability, and privacy.
Fault Tolerant Equilibria in Anonymous Games: best response correspondences and fixed points
A Nash equilibrium in a game with $N$ players is said to be $\alpha$-tolerant if no non-faulty user wants to deviate from an equilibrium strategy as long as $N-\alpha-1$ other players are playing the equilibrium strategies, i. e., it is robust to deviations from rationality by $\alpha$ faulty players.
Fictitious GAN: Training GANs with Historical Models
Inspired by the fictitious play learning process, a novel training method, referred to as Fictitious GAN, is introduced.
