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Found 4 papers, 1 papers with code
Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient
In case of smooth and strongly convex loss function, we prove our proposed method can achieve minimal training loss at linear rate with any small positive tolerance.
Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
For parameter aggregating in FL, over-the-air computation is a spectrum-efficient solution, which allows all mobile devices to transmit their parameter-mapped signals concurrently to a BS.
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency
To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency
To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.
Edge-computing
Information Theory
Information Theory
