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.
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What I read in 2020
Some notes on the books I read this year
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Diffing
Using the longest common subsequence to compute diffs
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That XOR Trick
Solving problems creatively with XOR
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What I read in 2019
Some notes on the books I read this year
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Reservoir Sampling
Sampling from streams
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Count-Min Sketch
A probabilistic data structure for data stream summaries
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What I read in 2018
Some notes on the books and papers I read this year
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TensorFlow
A bottom-up guide to computational graphs and tensors
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Quines
Self-reproducing programs
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Federated Learning for Firefox
Distributed machine learning for the Firefox URL bar
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Estimation Theory and Machine Learning
Formalizing what it means to compute good estimates
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Federated Learning
An introduction to collaborative machine learning
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RProp
Gradient descent without using gradient magnitudes
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Probabilistic Quantization
A probabilistic compression technique for Federated Learning
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What I read in 2017
Some notes on the books I read this year
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Add-on recommendations for Firefox users
A Mozilla Context Graph blog reading suggestion
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Differential Privacy
Learning statistics while preserving the privacy of individual users
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Bloom Filters
A probabilistic data structure for sets