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ORCIDDivyansh Jhunjhunwala
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2020 – today
- 2024
[j1]Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi:
Maximizing Global Model Appeal in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)- [c6]Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS 2024: 1612-1620 - [c5]Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang:
Erasure Coded Neural Network Inference via Fisher Averaging. ISIT 2024: 13-18 - [i7]Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR abs/2403.12329 (2024) - [i6]Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang:
Erasure Coded Neural Network Inference via Fisher Averaging. CoRR abs/2409.01420 (2024) - 2023
- [c4]Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR 2023 - [i5]Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi:
FedExP: Speeding up Federated Averaging Via Extrapolation. CoRR abs/2301.09604 (2023) - 2022
- [c3]Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi:
Fedvarp: Tackling the variance due to partial client participation in federated learning. UAI 2022: 906-916 - [i4]Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi:
To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning. CoRR abs/2205.14840 (2022) - [i3]Divyansh Jhunjhunwala, Pranay Sharma
, Aushim Nagarkatti, Gauri Joshi:
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning. CoRR abs/2207.14130 (2022) - 2021
- [c2]Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. ICASSP 2021: 3110-3114 - [c1]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS 2021: 14280-14292 - [i2]Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. CoRR abs/2102.04487 (2021) - [i1]Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi:
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR abs/2110.07751 (2021)
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