Adaptive quantization of model updates for communication-efficient federated learning D Jhunjhunwala, A Gadhikar, G Joshi, YC Eldar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 79 | 2021 |
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning D Jhunjhunwala, P Sharma, A Nagarkatti, G Joshi Uncertainty in Artificial Intelligence, 906-916, 2022 | 32 | 2022 |
FedExP: Speeding up Federated Averaging Via Extrapolation D Jhunjhunwala, S Wang, G Joshi International Conference of Learning Representations (ICLR), 2023, 2023 | 24 | 2023 |
To federate or not to federate: incentivizing client participation in federated learning YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 13 | 2022 |
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation D Jhunjhunwala, A Mallick, A Gadhikar, S Kadhe, G Joshi Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 11 | 2021 |
Towards a theoretical and practical understanding of one-shot federated learning with fisher information D Jhunjhunwala, S Wang, G Joshi Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023 | 5 | 2023 |
Maximizing global model appeal in federated learning YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi arXiv preprint arXiv:2205.14840, 2022 | 1 | 2022 |
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning D Jhunjhunwala, S Wang, G Joshi International Conference on Artificial Intelligence and Statistics, 1612-1620, 2024 | | 2024 |