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Divyansh Jhunjhunwala
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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
782021
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
312022
FedExP: Speeding up Federated Averaging Via Extrapolation
D Jhunjhunwala, S Wang, G Joshi
International Conference of Learning Representations (ICLR), 2023, 2023
242023
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
132022
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
102021
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
42023
Maximizing global model appeal in federated learning
YJ Cho, D Jhunjhunwala, T Li, V Smith, G Joshi
arXiv preprint arXiv:2205.14840, 2022
12022
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
D Jhunjhunwala, S Wang, G Joshi
arXiv preprint arXiv:2403.12329, 2024
2024
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