Azzam Mourad

Colony: Robust Personalized ML With Contribution-Driven Connectivity and Resource Allocation in P2P Networks

Decentralized Personalized Learning (DPL) is an emerging paradigm that enables nodes to train personalized models across a peer-to-peer network without sharing their data or relying on a central server. However, nodes are often connected to a dynamic set of neighbors without prior knowledge of the quality of their data...

Deep reinforcement learning for autonomous and continual network intrusion detection