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Found 3 papers, 2 papers with code
Locally Adaptive Federated Learning via Stochastic Polyak Stepsizes
We prove that FedSPS converges linearly in strongly convex and sublinearly in convex settings when the interpolation condition (overparametrization) is satisfied, and converges to a neighborhood of the solution in the general case.
Why Random Pruning Is All We Need to Start Sparse
Random masks define surprisingly effective sparse neural network models, as has been shown empirically.
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos
Moreover, the initialization and termination of mid-air finger writing is also challenging due to the absence of any standard delimiting criterion.
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