Joshi, Gauri

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Wang, J., Liu, Q., Liang, H., Joshi, G., & Poor, H. V. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Wang, J., Sahu, A. K., Yang, Z., Joshi, G., & Kar, S. (2019) · 2019 Sixth Indian Control Conference (ICC)

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

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Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning

Jhunjhunwala, D., Gadhikar, A., Joshi, G., & Eldar, Y. C. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

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Slow and Stale Gradients Can Win the Race

Dutta, S., Wang, J., & Joshi, G. (2021) · IEEE Journal on Selected Areas in Information Theory

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

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