Past Meetup

October Meetup - Introduction to OTP, Functional Federated Learning in Erlang

This Meetup is past

29 people went

Location image of event venue

Details

Agenda:
• 6:45 pm - 7:10 pm
Snacks - Pizzas, drinks, mingling
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• 7:10 pm
Topic: Introduction to OTP

Grzegorz is the Head Of Engineering at Kaligo.

Speaker: Grzegorz Witek
Linkedin: https://www.linkedin.com/in/grzegorzwitek/

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• 8:00 pm :
Topic: Functional Federated Learning in Erlang (ffl-erl)

The functional programming language Erlang is well-suited for
concurrent and distributed applications. Numerical computing, however,
is not seen as one of its strengths. The recent introduction of
Federated Learning, a concept according to which client devices are
leveraged for de-centralized machine learning tasks, while a central
server updates and distributes a global model, provided the motivation
for exploring how well Erlang is suited to that problem. We present
ffl-erl, a framework for Federated Learning, written in Erlang, and
explore how well it performs in two scenarios: one in which the entire
system has been written in Erlang, and another in which Erlang is
relegated to coordinating client processes that rely on performing
numerical computations in the programming language C. There is a
concurrent as well as a distributed implementation of each case.
Erlang incurs a performance penalty, but for certain use cases this
may not be detrimental, considering the trade-off between conciseness
of the language and speed of development (Erlang) versus performance
(C). Thus, Erlang may be a viable alternative to C for some practical
machine learning tasks.

Speaker: Gregor Ulm
Gregor Ulm is a computer scientist, currently working as a research and development engineer in an industrial research lab in Gothenburg, Sweden.

Website: http://gregorulm.com
LinkedIn: https://www.linkedin.com/in/gregorulm/

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Thanks to the following volunteers:
Meetup Organizers, Zalora for venue & Yojee for getting us pizzas.

(About Yojee) An agile startup in Singapore building logistics software utilizing Block-chain, AI and Machine Learning to optimize and manage fleets.

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