Florian Hartmann
I work on Federated Learning at Google Research. Previously, I also wrote my master's thesis on Federated Learning and spent a few wonderful months at Mozilla working on a Firefox implementation. Prior to that, I also worked on Differential Privacy and recommender systems at Mozilla, and on NLP at Amazon.
I occasionally like to develop apps, such as a clipboard manager or a Hacker News client. Before I got into machine learning, I published several popular JavaScript libraries.

What I read in 2020
Some notes on the books I read this year

Diffing
Using the longest common subsequence to compute diffs

That XOR Trick
Solving problems creatively with XOR

What I read in 2019
Some notes on the books I read this year

Reservoir Sampling
Sampling from streams

CountMin Sketch
A probabilistic data structure for data stream summaries

What I read in 2018
Some notes on the books and papers I read this year

TensorFlow
A bottomup guide to computational graphs and tensors

Quines
Selfreproducing programs

Federated Learning for Firefox
Distributed machine learning for the Firefox URL bar

Estimation Theory and Machine Learning
Formalizing what it means to compute good estimates

Federated Learning
An introduction to collaborative machine learning

RProp
Gradient descent without using gradient magnitudes

Probabilistic Quantization
A probabilistic compression technique for Federated Learning

What I read in 2017
Some notes on the books I read this year

Addon recommendations for Firefox users
A Mozilla Context Graph blog reading suggestion

Differential Privacy
Learning statistics while preserving the privacy of individual users

Bloom Filters
A probabilistic data structure for sets