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stat.ML2024
Fixed points of nonnegative neural networks
Tomasz J. Piotrowski, Renato L. G. Cavalcante, Mateusz Gabor
We use fixed point theory to analyze nonnegative neural networks, which we define as neural networks that map nonnegative vectors to nonnegative vectors. We first show that nonnega…
stat.ML2024
Inverse Feasibility in Over-the-Air Federated Learning
Tomasz Piotrowski, Rafail Ismayilov, Matthias Frey +1
We introduce the concept of inverse feasibility for linear forward models as a tool to enhance OTA FL algorithms. Inverse feasibility is defined as an upper bound on the condition…