Sarit Khirirat

IEEE Trans. Control. Netw. Syst., June, 2025

On the Convergence of Federated Learning Algorithms Without Data Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2025

Smoothed Normalization for Efficient Distributed Private Optimization.

[BibT_eX]

[DOI]

Egor Shulgin

Peter Richtárik

CoRR, February, 2025

Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation.

[BibT_eX]

[DOI]

Shubham Vaishnav

IEEE Internet Things J., January, 2025

Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Error Feedback under (L<sub>0</sub>,L<sub>1</sub>)-Smoothness: Normalization and Momentum.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed Momentum Methods Under Biased Gradient Estimations.

[BibT_eX]

[DOI]

CoRR, 2024

Compressed Federated Reinforcement Learning with a Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Improved Step-Size Schedules for Proximal Noisy Gradient Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Clip21: Error Feedback for Gradient Clipping.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Performance of Private Federated Models in Medical Image Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

2022

First-Order Algorithms for Communication Efficient Distributed Learning.

[BibT_eX]

[DOI]

PhD thesis, 2022

Eco-Fedsplit: Federated Learning with Error-Compensated Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Zeroth-Order Randomized Subspace Newton Methods.

[BibT_eX]

[DOI]

Erik Berglund

Xiaoyu Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Compressed Gradient Methods With Hessian-Aided Error Compensation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Improved Step-Size Schedules for Noisy Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

A Flexible Framework for Communication-Efficient Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

The Convergence of Sparsified Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Gradient compression for communication-limited convex optimization.

[BibT_eX]

[DOI]

Dan Alistarh

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Mini-batch gradient descent: Faster convergence under data sparsity.

[BibT_eX]

[DOI]

Hamid Reza Feyzmahdavian