Distributed algorithms

KAUST advances scalable AI through global collaboration

1 min read · Wed, Nov 12 2025

machine learning LLM Federated learning Distributed algorithms

KAUST brings global experts together to advance scalable AI and tackle the challenges of training large models.

KAUST Workshop on Distributed Training in the Era of Large Models

Nov 24 - 26, All day

Auditorium between B4 & 5, L0, R0215

machine learning Distributed algorithms generative models ML

Join leading researchers and innovators to explore how distributed training is reshaping the next generation of large-scale AI models.

BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training

Laurent Condat, Senior Research Scientist, Computer Science

Oct 27, 12:00 - 13:00

B9 L2 R2325

optimization Distributed algorithms Signal and Image Processing

We introduce BiCoLoR, the first algorithm to combine local training with bidirectional compression using arbitrary unbiased compressors, achieving accelerated complexity and demonstrating superior empirical performance.

Laurent Condat

Senior Research Scientist, Computer Science

optimization Federated learning Distributed algorithms Signal and Image Processing

I am a senior researcher working in optimization, in the group of Prof. Peter Richtárik.