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nicolasfara/experiments-2024-ACSOS-opportunistic-federated-learning: 1.3.0

Authors: Nicolas Farabegoli; Davide Domini; Gianluca Aguzzi; Semantic Release Bot;

nicolasfara/experiments-2024-ACSOS-opportunistic-federated-learning: 1.3.0

Abstract

1.3.0 (2024-04-19) Features add accuracyBasedMetric (0e3646b) add Area correctness metric an minor refactoring (595e475) add average loss exporter per area (f779924) add custom metric (8419035) add data fraction param to data sampling (9ed7e4a) add dataset split loading for each node (7910292) add export of global train loss, validation loss and validation accuracy (23532af) add local model loading using simulation seed (6e54c66) add machinery for dataset partitioning (f58189f) add nn initialization with simulation seed (bf28fee) add validation on each node (d6436a2) call python code for dataset partitioning (1d262ef) docker: add python packages installation for the simulation (71b6337) implement eval (ae66cae) implement local training (036ee84) implement scr (4a98f64) python: implement evaluation (d845740) python: implement init nn (33e80dd) python: implement nn loader (cb7e1d9) use exporter in the simulation (790815f) Dependency updates deps: add scalapy dependency (7fce899) deps: update plugin com.gradle.develocity to v3.17.2 (4fcc272) Bug Fixes cnn_factory --> cnn_loader (2d05e69) docker: fix requirements installation (e8869af) fix cnn_loader call (bdc6011) fix computeMetric function (daa2b5c) fix computeMetric function (b3f4b74) fix impulsesEvery method (e569613) fix snapshot path (6359eea) handle empty neigh when eval the metrics (79be6d1) passing the right metric in the formula (8171142) requirements: add setuptools (b74866a) solve a problem with index (d41816b) solve a problem with metric formula (4bf9d45) Build and continuous integration adapt windows paths (7f07f25) add task for creating networks folder needed by pytorch (c3e0a1a) deps: update actions/download-artifact action to v4.1.5 (254fa36) deps: update actions/upload-artifact action to v4.3.2 (fc02658) deps: update danysk/build-check-deploy-gradle-action action to v2.4.16 (dd035cc) disable fail-fast policy (99d394a) disable windows runner (c7531ec) install python dependencies via gradle tasks (8afc3cb) setup python 3.11 for testing native simulations (66fe529) support windows syntax for script (a5b1cd4) try to exclude macos from CI (20b4cee) use python as command (f18c8d3) use python of the configured action when in CI (5d1c9d7) use python3 as command (e3ee042) General maintenance add metric as a simulation parameter (2b2f397) add metrics field as a value extracted (d783940) docker: add python venv dependency (b80c0a6) docker: create python alias (bc25011) exclude pytorch network folder and hs_err files (6424a0d) exclude virtual env folder (290c1a9) fist working verison of opportunistic federated learning (4b22a5f) improve exporter structure (e65144c) minors in parameters (995187a) move PythonModules inside interop package (586d210) release: update gradle.properties .env versions to 1.2.0 [skip ci] (4f05626) remove space (57b99e7) rename python file (d42e9fd) setup scalapy in CI (fcbdfbf) simulation: add missing simulation parameters (321f205) starting working on AreaDiscrepancyExporter (e0a91d6) update the effect (85de8bb) use ??? (5612298) Style improvements better style (856a390) us explicit () for method invocation (5cdd76e) Refactoring improvecode quality avoiding magic string around the code (634bb35) prefer using case (a, b) instead of unpacking inside the lambda (d7ce47f) remove metric as parameter and add threshold as parameter (6149c9e) simplify code metric (aba788a) use exporter at the end of the name (fc07f52)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average