Skip to content

The FLB project aims to integrate Federated Learning (FL) with protocol technology to enhance data privacy and security in machine learning applications.

active 2024-08-072024-12-12 (UTC)

Complete coverage26,767 / 26,767 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
175
Pushes
58
Pull requests
5
Issues
47
Stars
24
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 128 days from 2024-08-07 to 2024-12-12. Pushes: 58 total, peak 10 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 47 total, peak 23 in a day. Comments: 1 total, peak 1 in a day. Stars: 24 total, peak 7 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

Recent activity

Latest issues, pull requests and releases

  • Issue#13Sportsec2024-12-12 12:41
    Testing Report for CerboAI FLB Repository: Testing
  • Pull request#12IfexTheGreat2024-12-07 20:22
  • Issue#11IfexTheGreat2024-12-07 19:50
    Testing Report for CerboAI FLB Repository:Performance Optimization
  • Issue#10IfexTheGreat2024-12-07 19:47
    Testing Report for CerboAI FLB Repository: Security Concerns
  • Issue#9IfexTheGreat2024-12-07 19:15
    Testing Report for CerboAI FLB Repository: Feedback on Code Quality and Structure
  • Issue#8IfexTheGreat2024-12-07 13:53
    Testing Report for CerboAI FLB Repository: Testing
  • Issue#7IfexTheGreat2024-12-07 13:50
    Testing Report for CerboAI FLB Repository: Bug Identification
  • Issue#6IfexTheGreat2024-12-07 13:48
    Testing Report for CerboAI FLB Repository: Core Functional Testing
  • Issue#5IfexTheGreat2024-12-07 13:45
    Testing Report for CerboAI FLB Repository: Setup and Installation
  • Issue#4Mubarakjawando2024-12-06 09:57
    File Name: Attention.swift
  • Issue#3Mubarakjawando2024-12-06 09:49
    File Name: ModelInner.swift Code Example: self.layers = (0 ..< args.hiddenLayers).map { _ in TransformerBlock(args) } Expected Behavior: The model should initialize the specified number of transformer blocks as defined by args.hiddenLayers. Actual Behavior: When args.hiddenLayers is less than or equal to zero, no layers are initialized, leading to an undesired state. Suggested Resolution: Add input validation to ensure args.hiddenLayers is a positive integer. If invalid, throw an err
  • Issue comment#1Generalresolution032024-11-24 22:57
    Failed to Connect Wallet using MetaMask
  • Issue#2Vikram4552024-11-19 17:28
    Error Message When Attempting to Contribute to AI Model Training
  • Issue#1Sagacious2452024-11-19 17:04
    Failed to Connect Wallet using MetaMask
  • Issue#38ghostglyp2024-11-07 17:02
    AI Model and Algorithmic Integrity Audit
  • Issue#37Ennyflame22024-11-07 16:54
    Compliance Audit
  • Issue#35decryptodevv2024-11-07 16:39
    Performance Audit
  • Issue#34ashrafolarinoye2024-11-07 16:32
    Security Audit
  • Issue#33Ewans82024-11-06 10:27
    FEEDBACKS
  • Issue#32DevKygo2024-11-06 10:21
    Feedback
  • Issue#31hab-cell2024-11-06 08:50
    dd compatibility checks or warnings for unsupported models during initialization.
  • Issue#30Devdave1932024-11-05 12:54
    Feedback
  • Issue#29Krame-code2024-11-05 12:45
    Feedback
  • Pull request#25Ablus-Bang2024-11-05 10:13
  • Issue#28DevKygo2024-11-03 20:59
    Feedback

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 24 stars here means stars gained during the window, not the repo's star count.