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MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data without ever collecting the data in a centralized location. The core of the framework is written in C++ and focuses on scalability, speed and resiliency.

active 2023-09-082023-11-05 (UTC)

Complete coverage26,691 / 26,691 hourly files (100%) · 2 absent upstream2023-08-152026-08-31 (UTC)
Events
241
Pushes
86
Pull requests
9
Issues
5
Stars
103
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 59 days from 2023-09-08 to 2023-11-05. Pushes: 86 total, peak 11 in a day. Pull requests: 9 total, peak 4 in a day. Issues: 5 total, peak 1 in a day. Comments: 11 total, peak 3 in a day. Stars: 103 total, peak 13 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
panoskyriakis928072
stripeli7601
nkanak3021
mertbozkir2002
HashemAlsaket2001
atharvajoshi102001
BhushanMahajan251001
stripelis1001
yashmaurya011001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#46BhushanMahajan252023-10-14 02:42
    Homomorphic encryption support using TenSEAL
  • Issue comment#46yashmaurya012023-10-13 20:33
    Homomorphic encryption support using TenSEAL
  • Issue#42panoskyriakis2023-10-06 05:54
    LLMs/Transformers Case Study
  • Pull request#47panoskyriakis2023-10-06 05:53
  • Pull request#47nkanak2023-10-01 13:03
  • Issue#46panoskyriakis2023-10-01 04:47
    Homomorphic encryption support using TenSEAL
  • Issue comment#42nkanak2023-09-26 19:47
    LLMs/Transformers Case Study
  • Issue comment#40panoskyriakis2023-09-26 00:57
    Quick start for new contributors
  • Issue comment#42panoskyriakis2023-09-26 00:55
    LLMs/Transformers Case Study
  • Issue comment#42mertbozkir2023-09-25 11:56
    LLMs/Transformers Case Study
  • Issue comment#40mertbozkir2023-09-25 11:51
    Quick start for new contributors
  • Pull request#45panoskyriakis2023-09-23 21:39
  • Pull request#45panoskyriakis2023-09-23 21:35
  • Pull request#44panoskyriakis2023-09-23 21:33
  • Pull request#44nkanak2023-09-23 20:41
  • Issue comment#43atharvajoshi102023-09-19 19:23
    Creating the Dev env without GPUs
  • Issue#43atharvajoshi102023-09-19 00:31
    Creating the Dev env without GPUs
  • Issue#42panoskyriakis2023-09-17 23:08
    LLMs/Transformers Case Study
  • Pull request#39panoskyriakis2023-09-17 22:51
  • Pull request#41panoskyriakis2023-09-15 04:53
  • Issue comment#40stripeli2023-09-12 20:38
    Quick start for new contributors
  • Issue comment#40stripelis2023-09-12 20:37
    Quick start for new contributors
  • Issue#40HashemAlsaket2023-09-12 18:19
    Quick start for new contributors
  • Issue comment#39HashemAlsaket2023-09-12 18:10
    Dev
  • Pull request#39panoskyriakis2023-09-11 22:55

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 103 stars here means stars gained during the window, not the repo's star count.