News

I was recognized as a Top Reviewer for NeurIPS 2026.

LOSCAR-SGD and Rescaled ASGD were accepted to NeurIPS 2026.

I joined EPFL as an EPFL AI Center and Swiss AI Initiative Postdoctoral Fellow, hosted by Volkan Cevher and Martin Jaggi.

Ringleader ASGD was accepted to ICLR 2026.

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]

MindFlayer SGD was accepted to UAI 2025.

Ringmaster ASGD and ATA were 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 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 were accepted to the NeurIPS 2024 Optimization for Machine Learning Workshop:

  • MindFlayer (Oral, Top 5%) [video]
  • Differentially Private Random Block Coordinate Descent
  • LoCoDL

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.