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ORCIDAdvait Gadhikar
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2020 – today
- 2024
[c4]Advait Harshal Gadhikar, Rebekka Burkholz:
Masks, Signs, And Learning Rate Rewinding. ICLR 2024- [i7]Advait Gadhikar, Rebekka Burkholz:
Masks, Signs, And Learning Rate Rewinding. CoRR abs/2402.19262 (2024) - [i6]Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz:
Cyclic Sparse Training: Is it Enough? CoRR abs/2406.02773 (2024) - 2023
- [c3]Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz:
Why Random Pruning Is All We Need to Start Sparse. ICML 2023: 10542-10570 - 2022
- [i5]Advait Gadhikar, Rebekka Burkholz:
Dynamical Isometry for Residual Networks. CoRR abs/2210.02411 (2022) - [i4]Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz:
How Erdös and Rényi Win the Lottery. CoRR abs/2210.02412 (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 - [i3]Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. CoRR abs/2102.04487 (2021) - [i2]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth
, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (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)
Coauthor Index
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