| Mar 23, 2025 | I spent two weeks visiting Yi-Shuai Niu at the Beijing Institute of Mathematical Sciences and Applications (BIMSA), collaborating on a project on Server-Assisted Federated Learning. During the visit, I also gave talks at three universities: PKU, BUAA, and BIMSA. |
| Feb 10, 2025 | I’ll be giving a talk at the AMCS/STAT graduate seminar at KAUST on February 27, presenting our paper, Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity. |
| Feb 04, 2025 | New paper out ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. Co-authored with El Mehdi Saad, Peter Richtárik, Francesco Orabona. [LinkedIn post] |
| Jan 28, 2025 | New paper out: Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity. Co-authored with Alexander Tyurin, Peter Richtárik. [LinkedIn post] |
| Jan 23, 2025 | Our paper LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression by Laurent Condat, Peter Richtárik, and me, has been accepted to ICLR 2025 as a Spotlight! [LinkedIn post] |
| Nov 23, 2024 | I had the pleasure of giving a talk at the Apple MLR seminar, thanks to an invitation from Samy Bengio. It was an amazing opportunity to share our work on MindFlayer. Feel free to check out the talk slides here. |
| Oct 17, 2024 | I will be giving a talk at the International Conference on Algebra, Logic, and their Applications on October 18, on our paper, MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times. |
| Oct 17, 2024 | I am reviewing for SIAM Journal on Mathematics of Data Science (SIMODS). |
| Oct 10, 2024 | Three papers are accepted to Optimization for Machine Learning Workshop (NeurIPS 2024): - MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times (Oral, Top 5%) [video]
- Differentially Private Random Block Coordinate Descent
- LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
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| Oct 08, 2024 | New paper out; we have MindFlayer, Vecna, and other Stranger Things: MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times |
| Sep 11, 2024 | I am reviewing for Transactions on Machine Learning Research (TMLR). |
| Sep 08, 2024 | I am reviewing for The Journal of Machine Learning Research (JMLR).  |
| Oct 06, 2023 | I am invited to give a talk at the Algorithms & Computationally Intensive Inference seminars at the University of Warwick, Coventry, England. |
