Kumar Kshitij Patel

21 papers A* 9Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Personalized Federated Training of Diffusion Models with Privacy Guarantees. CoRR Kumar Kshitij Patel, Weitong Zhang, Lingxiao Wang
2025	J	`jnl`	What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness. CoRR Kumar Kshitij Patel
2024	J	`jnl`	Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter
2024	A*	`conf`	Online Combinatorial Optimization with Group Fairness Constraints. IJCAI Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan
2024	J	`jnl`	The Limitations of Model Retraining in the Face of Performativity. CoRR Anmol Kabra, Kumar Kshitij Patel
2024	A*	`conf`	The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. COLT Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
2024	J	`jnl`	The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. CoRR Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro
2023	A*	`conf`	Federated Online and Bandit Convex Optimization. ICML Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro
2023	J	`jnl`	Federated Online and Bandit Convex Optimization. CoRR Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Sebro
2023	J	`jnl`	On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang
2022	A*	`conf`	Towards Optimal Communication Complexity in Distributed Non-Convex Optimization. NeurIPS Kumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro
2021	A*	`conf`	A Stochastic Newton Algorithm for Distributed Convex Optimization. NeurIPS Brian Bullins, Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake E. Woodworth
2021	J	`jnl`	A Stochastic Newton Algorithm for Distributed Convex Optimization. CoRR Brian Bullins, Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake E. Woodworth
2020	A*	`conf`	Don't Use Large Mini-batches, Use Local SGD. ICLR Tao Lin, Sebastian U. Stich, Kumar Kshitij Patel, Martin Jaggi
2020	A*	`conf`	Is Local SGD Better than Minibatch SGD? ICML Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro
2020	J	`jnl`	Is Local SGD Better than Minibatch SGD? CoRR Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro
2020	A*	`conf`	Minibatch vs Local SGD for Heterogeneous Distributed Learning. NeurIPS Blake E. Woodworth, Kumar Kshitij Patel, Nati Srebro
2020	J	`jnl`	Minibatch vs Local SGD for Heterogeneous Distributed Learning. CoRR Blake E. Woodworth, Kumar Kshitij Patel, Nathan Srebro
2019	A*	`conf`	Communication trade-offs for Local-SGD with large step size. NeurIPS Aymeric Dieuleveut, Kumar Kshitij Patel
2019	J	`jnl`	Communication trade-offs for synchronized distributed SGD with large step size. CoRR Kumar Kshitij Patel, Aymeric Dieuleveut
2019	J	`jnl`	Corruption-tolerant bandit learning. Mach. Learn. Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar