defed-investigator
by basedcount
A website mapping federation activity throughout the Fediverse. Quickly found out who has defederated your instance.
AI summary
Discoverer
Tools to discover which Fediverse instances have defederated or silenced yours
- stars
- 29
- forks
- 0
- watching
- 4
Similar projects
Found by comparing what the projects do, not just their names.
Fediverse client
A command-line client for the Fediverse social network
Federated Learning vulnerability research
Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them.
Federated Learning Detector
Develops and evaluates a framework for detecting attacks on federated learning systems
Fediverse SDK
A shared Swift framework for interacting with Mastodon and the Fediverse APIs on multiple platforms
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Web client
A mobile-first web client for the Fediverse, built using Ionic and TypeScript.
Federated Learning Engine
An implementation of federated daisy-chaining and model averaging for distributed machine learning
Federated network library
A PHP implementation of ActivityPub protocol layers for federated social networking
Fediverse client
An iOS client for interacting with Fediverse instance servers using the Mastodon API
Query optimizer
An index-assisted federation engine for optimizing queries across multiple SPARQL endpoints
Federated Learning System
A PyTorch implementation of an attack-tolerant federated learning system to train robust local models against malicious attacks from adversaries.
Federated learner
Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift
Federated Learning Framework
An implementation of a heterogenous federated learning framework using model distillation.
Federated testing framework
A collection of tools and tests for evaluating the performance of federated machine learning systems
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
