All News
| Two papers have been accepted to NeurIPS 2026: | |
| I joined EPFL as a postdoc, supported by the EPFL AI Center and Swiss AI Postdoctoral Fellowship Program, working with Volkan Cevher and Martin Jaggi. | |
| One paper has been accepted to ICLR 2026: Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity | |
| I defended my PhD. My dissertation is titled “First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data”. Committee: Stephen Wright, Mikael Johansson, Ce Zhang, David Keyes, Raul Tempone, Basem Shihada. [LinkedIn post] | |
| Honored to receive the CEMSE Dean’s List Award for academic and research excellence at KAUST — with a USD 2,500 prize. [LinkedIn post] | |
| One paper has been accepted to UAI 2025: MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times | |
| Two papers have been accepted to ICML 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 institutions: PKU, BUAA, and BIMSA. | |
| 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. | |
| 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] | |
| 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. | |
| 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. | |
| I am reviewing for SIAM Journal on Mathematics of Data Science (SIMODS). | |
Three papers are accepted to Optimization for Machine Learning Workshop (NeurIPS 2024):
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| 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 | |
| I am reviewing for Transactions on Machine Learning Research (TMLR). | |
I am reviewing for The Journal of Machine Learning Research (JMLR).  | |
| I am invited to give a talk at the Algorithms & Computationally Intensive Inference seminars at the University of Warwick, Coventry, England. |
