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Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels.

, and . COMAD/CODS, page 605-606. ACM, (2024)

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Cramér-Rao-Type Bounds for Sparse Bayesian Learning., and . IEEE Trans. Signal Process., 61 (3): 622-632 (2013)Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems., , and . ICASSP, page 3240-3243. IEEE, (2011)Sparse signal recovery in the presence of colored noise and rank-deficient noise covariance matrix: An SBL approach., , and . ICASSP, page 3761-3765. IEEE, (2015)CAMTA: Casual Attention Model for Multi-touch Attribution., , , , , and . CoRR, (2020)Lower Bounds on the Bayes Risk of the Bayesian BTL Model with Applications to Random Graphs., , and . CoRR, (2017)Lower Bounds on the Bayes Risk of the Bayesian BTL Model With Applications to Comparison Graphs., , and . J. Sel. Topics Signal Processing, 12 (5): 975-988 (2018)Federated Learning for Wireless Applications: A Prototype., , , , and . COMSNETS, page 300-302. IEEE, (2024)Enhancing Federated Learning robustness in Wireless Networks., and . COMAD/CODS, page 597-598. ACM, (2024)Variational Student: Learning Compact and Sparser Networks In Knowledge Distillation Framework., , , and . ICASSP, page 3247-3251. IEEE, (2020)B-Small: A Bayesian Neural Network Approach to Sparse Model-Agnostic Meta-Learning., and . ICASSP, page 2730-2734. IEEE, (2021)