Divyansh Jhunjhunwala

19 papers A* 2A 2B 1Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA. CoRR Divyansh Jhunjhunwala, Arian Raje, Madan Ravi Ganesh, Chaithanya Kumar Mummadi, Chaoqun Dong, Jiawei Zhou, Wan-Yi Lin, Gauri Joshi, Zhenzhen Li
2025	J	`jnl`	Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning. CoRR Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi
2025	J	`jnl`	Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning. Trans. Mach. Learn. Res. Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi
2025	J	`jnl`	Navigating the Accuracy-Size Trade-Off with Flexible Model Merging. CoRR Akash Balasaheb Dhasade, Divyansh Jhunjhunwala, Milos Vujasinovic, Gauri Joshi, Anne-Marie Kermarrec
2025	J	`jnl`	Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning. CoRR Arian Raje, Baris Askin, Divyansh Jhunjhunwala, Gauri Joshi
2024	B	`conf`	Erasure Coded Neural Network Inference via Fisher Averaging. ISIT Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	J	`jnl`	Erasure Coded Neural Network Inference via Fisher Averaging. CoRR Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	A	`conf`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	J	`jnl`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	J	`jnl`	Maximizing Global Model Appeal in Federated Learning. Trans. Mach. Learn. Res. Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi
2023	A*	`conf`	FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2023	J	`jnl`	FedExP: Speeding up Federated Averaging Via Extrapolation. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2022	J	`jnl`	FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning. CoRR Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi
2022	A	`conf`	Fedvarp: Tackling the variance due to partial client participation in federated learning. UAI Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi
2022	J	`jnl`	To Federate or Not To Federate: Incentivizing Client Participation in Federated Learning. CoRR Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi
2021	Misc	`conf`	Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. ICASSP Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar
2021	J	`jnl`	Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. CoRR Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar
2021	A*	`conf`	Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. NeurIPS Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
2021	J	`jnl`	Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation. CoRR Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi