Advait Gadhikar

According to our database, Advait Gadhikar authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attention Is All You Need For Mixture-of-Depths Routing.

Advait Gadhikar, Souptik Kumar Majumdar, Niclas Popp, Piyapat Saranrittichai, Martin Rapp, Lukas Schott

CoRR, 2024

Cyclic Sparse Training: Is it Enough?

Advait Gadhikar, Sree Harsha Nelaturu, Rebekka Burkholz

CoRR, 2024

Masks, Signs, And Learning Rate Rewinding.

Advait Harshal Gadhikar, Rebekka Burkholz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Why Random Pruning Is All We Need to Start Sparse.

Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz

Proceedings of the International Conference on Machine Learning, 2023

2022

How Erdös and Rényi Win the Lottery.

Advait Gadhikar, Sohom Mukherjee, Rebekka Burkholz

CoRR, 2022

Dynamical Isometry for Residual Networks.

Advait Gadhikar, Rebekka Burkholz

CoRR, 2022

2021

A Field Guide to Federated Optimization.

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

CoRR, 2021

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation.

Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning.

Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021