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Inverse Feasibility in Over-the-Air Federated Learning
We introduce the concept of inverse feasibility for linear forward models as a tool to enhance OTA FL algorithms.
A Learning-Based Approach to Approximate Coded Computation
Lagrange coded computation (LCC) is essential to solving problems about matrix polynomials in a coded distributed fashion; nevertheless, it can only solve the problems that are representable as matrix polynomials.
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