Unlocking FedNL on arXiv
The paper Unlocking FedNL: Self-Contained Compute-Optimized Implementation has been published on arXiv: arXiv:2410.08760.
More | October 14, 2024 |
CS Ph.D. candidacy in CEMSE Division at KAUST
The paper Unlocking FedNL: Self-Contained Compute-Optimized Implementation has been published on arXiv: arXiv:2410.08760.
More | October 14, 2024 |
Paper PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression has been accepted at NeurIPS 2024.
More | October 2, 2024 |
Paper “Don’t Compress Gradients in Random Reshuffling: Compress Gradient Differences” has been accepted at NeurIPS 2024.
More | September 27, 2024 |
Unlocking FedNL Self-Contained Compute-Optimized Implementation (Research from KAUST) in Virtual Radio Studio
More | September 14, 2024 |
Internship in Private Federated Learning ML Team Apple Inc.
More | June 5, 2024 |
The new paper PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression with a new fine-tuning technique for highly-compressed LLMs.
More | May 31, 2024 |
Remote presentation of our latest research for Apple.
More | May 24, 2024 |
Remote presentation of our latest research for NVIDIA.
More | April 22, 2024 |
This technical note is devoted to covering information regarding all primary C++ programming language standards: C++03/98/11/14/17/20/23.
More | April 2, 2024 |
“Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants” has been accepted and will be presented at ICLR 2024.
More | February 19, 2024 |
“Unlocking FedNL: Self-Contained Compute-Optimized Implementation” will be presented at KAUST Rising Stars AI Symposium 2024.
More | February 14, 2024 |
The paper Personalized Federated Learning with Communication Compression was accepted by the Transactions on Machine Learning Research.
More | November 26, 2023 |
“Federated Learning is Better with Non-Homomorphic Encryption” at the 4th International Workshop on Distributed Machine Learning(DistributedML 2023).
More | November 2, 2023 |
The paper Faster Rates for Compressed Federated Learning with Client-Variance Reduction was accepted by the SIAM Journal (SIMODS).
More | September 26, 2023 |
Technical Note. Exploring the Python 3 Language from a Computing Perspective.
More | August 4, 2023 |
Update of technical note devoted to covering information regarding all primary C++ programming language standards: C++98/03/11/14/17/20.
More | July 8, 2023 |
Our two papers on Federated Learning have been accepted to FL-ICML-2023.
More | June 30, 2023 |
The new paper Error Feedback Shines when Features are Rare has been released.
More | May 26, 2023 |
“FL_PyTorch: Optimization Research Simulator for Federated Learning” at SIAM Conference on Optimization 2023.
More | May 2, 2023 |
My old website with 151 notes was deleted on 10 Mar. 2023, 08:58 by a “Google” user.
More | March 13, 2023 |
FedNL. Practical Implementation (Ongoing project) at VCC OPEN HOUSE 2023 event.
More | February 19, 2023 |
The new paper Federated Learning with Regularized Client Participation has been released.
More | February 8, 2023 |
About Courses that I have audited during Fall, 2022: CS294V and AMCS 343.
More | December 19, 2022 |
Today on Monday 24 October 2022 I defended my CS Ph.D. Proposal and I have achieved the Status of a Ph.D. candidacy.
More | October 24, 2022 |
Second Place in the KAUST Chess Tournament.
More | October 12, 2022 |
The new paper Personalized Federated Learning with Communication Compression has been published.
More | September 13, 2022 |
Formal affiliation with the SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence (SDAIA-KAUST AI).
More | September 2, 2022 |
This technical note is devoted to covering information regarding all primary C++ programming language standards: C++03/98/11/14/17/20.
More | August 15, 2022 |
FL_PyTorch: Optimization Research Simulator for Federated Learning is publicly available on GitHub.
More | July 10, 2022 |
Research Scientist Intern (AI) offer, Meta/Facebook Inc., USA, Menlo Park.
More | June 26, 2022 |
The new paper Federated Optimization Algorithms with Random Reshuffling and Gradient Compression has been outed.
More | June 15, 2022 |
The new paper Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling has been outed.
More | June 7, 2022 |
“FL_PyTorch: Optimization Research Simulator for Federated Learning” will be presented in Rising Stars in AI Symposium 2022.
More | March 8, 2022 |
The new paper Faster Rates for Compressed Federated Learning with Client-Variance Reduction has been outed.
More | February 8, 2022 |
About advanced course “6-172. Performance Engineering of Software Systems.” at MIT with summarizing useful materials from that course for anybody who wants to optimize binary code performance.
More | February 3, 2022 |
Systematized catalog of courses at Stanford relative to AI, Machine Learning, Optimization, Statistics, Control Theory, Computer Vision, and Natural Language Processing.
More | December 22, 2021 |
Systematized catalog of courses at Stanford relative to creating various systems by leveraging science and engineering from various fields.
More | December 22, 2021 |
“Differential Privacy” and “Efficient Deep Learning” classes at KAUST.
More | December 14, 2021 |
«FL_PyTorch: Optimization Research Simulator for Federated Learning» has been accepted to DistributedML 2021.
More | November 23, 2021 |
Several engaging summer schools that I have a chance to attend during the summer of 2021.
More | October 24, 2021 |
My second semester (Spring, 2021) at KAUST CEMSE/CS.
More | October 20, 2021 |
“MARINA: Faster Non-Convex Distributed Learning with Compression” has been accepted to ICML 2021.
More | October 20, 2021 |
About final project at King Abdullah University of Science and Technology for the course CS 380 GPU and GPGPU Programming, 2020, Fall.
More | July 30, 2021 |
Poster for MARINA Paper presented at Poster session during Efficient Distributed Optimization workshop.
More | April 10, 2021 |
Post about the paper https://arxiv.org/abs/2102.07845.
More | February 18, 2021 |
Post about my Open-Source KD tree implementation.
More | January 14, 2021 |
The topic of my research at KAUST in 90 seconds.
More | January 3, 2021 |
About my first semester (Fall, 2020) at KAUST.
More | January 3, 2021 |
I have joined the KAUST Ph.D. Computer Science program at CEMSE and prof. Peter Richtarik Optimization and Machine Learning Lab.
More | September 26, 2020 |
Between 2011 to 2020 I used another homepage https://sites.google.com/site/burlachenkok/.
More | September 25, 2020 |