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Shape recognition, with applications to a passive assistant., , , and . PETRA, ACM, (2010)Partitioned vector quantization: application to lossless compression of hyperspectral images., , and . ICME, page 553-556. IEEE Computer Society, (2003)Online Model Compression for Federated Learning with Large Models., , , , , and . ICASSP, page 1-5. IEEE, (2023)Enabling On-Device Training of Speech Recognition Models With Federated Dropout., , , , , , , and . ICASSP, page 8757-8761. IEEE, (2022)Shape Recognition Using Vector Quantization., , and . DCC, page 484-493. IEEE Computer Society, (2010)Texture Classification Based on Discriminative Features Extracted in the Frequency Domain., , and . ICIP (2), page 53-56. IEEE, (2007)A rotation and scale invariant descriptor for shape recognition., , and . ICIP, page 257-260. IEEE, (2010)Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network., , , , , and . ICASSP, page 3017-3021. IEEE, (2020)Multiresolution Rotation-Invariant Texture Classification Using Feature Extraction in the Frequency Domain and Vector Quantization., , and . DCC, page 452-461. IEEE Computer Society, (2008)Federated Pruning: Improving Neural Network Efficiency with Federated Learning., , , , , , and . INTERSPEECH, page 1701-1705. ISCA, (2022)