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FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms,...

...Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity multi-core. FastFlow works on x86, x86_64, PPC, ARM, and Linux, Mac and Win XP/7. From Jan 1, 2018 code development migrated on GitHub at https://github.com/fastflow/fastflow

The EXT Library is set of various useful classes, templates and macros that extend functionality provided by ISO C++ (ext sub-library), standard C and C++ library (lib), to abstract parts of Windows API (win) and access PE file resources (res).

Kuhn-Munkres is used inside assignment problem solver application. Instance generator application creates input file for the solver. Checker application verifies the solution computed by the solver. A bash script compiles, executes these apps.

This project implements insert and remove operations on AVL trees. Comments in the source explain the implementation. Test applications perform a run-time check of insert and remove methods. A bash script builds and executes the test applications.