Jhunjhunwala, Divyansh

9 publications

TMLR 2025 Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi

NeurIPS 2025 Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi

AISTATS 2024 FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi

TMLR 2024 Maximizing Global Model Appeal in Federated Learning Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi

ICLR 2023 FedExP: Speeding up Federated Averaging via Extrapolation Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi

ICMLW 2023 Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi

UAI 2022 Fedvarp: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi

NeurIPSW 2022 To Federate or Not to Federate: Incentivizing Client Participation in Federated Learning Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi

NeurIPS 2021 Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi