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Found 5 papers, 0 papers with code
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Interference among concurrent transmissions in a wireless network is a key factor limiting the system performance.
Unsupervised Learning Technique to Obtain the Coordinates of Wi-Fi Access Points
Given that the accuracy of range-based positioning techniques generally increases with the number of available anchor nodes, it is important to secure more of these nodes.
Networking and Internet Architecture
Coded Federated Learning
Here, model parameters are computed locally by each client device and exchanged with a central server, which aggregates the local models for a global view, without requiring sharing of training data.
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
For minimizing the epoch deadline time at the MEC server, we provide a tractable approach for finding the amount of coding redundancy and the number of local data points that a client processes during training, by exploiting the statistical properties of compute as well as communication delays.
Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach
Ultra-reliable low-latency communication (URLLC) is the cornerstone for a broad range of emerging services in next-generation wireless networks.
