Professor of Machine Learning Systems
Dept. of Computer Science & Tech.
University of Cambridge
Co-Founder and CSO
Flower Labs
ndl32@cam.ac.uk
I am a full Professor in the department of Computer Science and Technology at the University of Cambridge, where I lead the Cambridge Machine Learning Systems lab (CaMLSys). Our mission at CaMLSys is to invent the next-generation of breakthrough ML-centric systems. I am also a Fellow of St. John’s College.
Alongside my academic roles, I am the co-founder and Chief Scientific Officer of Flower Labs, a venture-backed AI company (YCW23) behind the Flower federated learning framework. Flower Labs seeks to enable an AI future that is collaborative, open and distributed.
NEWS
Three ICLR 2021 papers accepted
Three papers accepted at ICLR this year! Two tackle how to scale NAS and its application to domains like ASR. The other studies the quantization of GNNs.
read moreNeurIPS 2020 accepted paper
Our paper, “BRP-NAS: Prediction-based NAS using GCNs”, was accepted at NeurIPS 2020.
read moreFlower @ Google FL workshop!
At this week’s Google FL workshop, we are launching our open source tool: Flower (http://flower.dev) to devise and evaluate FL under real-world conditions. Arxiv paper is out.
read moreMoving to Cambridge
I have accepted a position at the University of Cambridge that will be effective May 6th onwards. My research lab will gradually be moving over the summer.
read moreERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR
read more
Professor of Machine Learning Systems
Dept. of Computer Science & Tech.
University of Cambridge
Co-Founder and CSO
Flower Labs
ndl32@cam.ac.uk
NEWS
Three ICLR 2021 papers accepted
Three papers accepted at ICLR this year! Two tackle how to scale NAS and its application to domains like ASR. The other studies the quantization of GNNs.
NeurIPS 2020 accepted paper
Our paper, “BRP-NAS: Prediction-based NAS using GCNs”, was accepted at NeurIPS 2020.
Flower @ Google FL workshop!
At this week’s Google FL workshop, we are launching our open source tool: Flower (http://flower.dev) to devise and evaluate FL under real-world conditions. Arxiv paper is out.
Moving to Cambridge
I have accepted a position at the University of Cambridge that will be effective May 6th onwards. My research lab will gradually be moving over the summer.
ERC Starting Grant
ERC Starting Grant Award, beginning May 2020 “REDIAL: Re-thinking Efficiency in Deep Learning under Accelerators and Commodity Processors”. 1,500,000 EUR