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Found 3 papers, 2 papers with code
Locally Adaptive Federated Learning
In this work, we propose locally adaptive federated learning algorithms, that leverage the local geometric information for each client function.
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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