[P] Federated Adversarial Learning

<!-- SC_OFF --><div class="md"><p>Hey guys, I am an undergrad based in the United States. As a part of my independent summer research, I am doing Federated Learning to detect

<!-- SC_OFF --><div class="md"><p>Adversarial Machine Learning</p> <p>Hy guys, i'm new in this field since my background is math (Bachelor and Master). I've started to work on

<!-- SC_OFF --><div class="md"><p>This wasn't always the case, but now almost any research topic in machine learning that you can imagine is now being done MUCH BETTER in industry

<!-- SC_OFF --><div class="md"><p>Zhang et al. paper's introducing the SA-MDP framework (2020) (state adversarial MDP) argues that an attack using the critic network (V(s)) is

<!-- SC_OFF --><div class="md"><p>Most differentially private federated learning methods are still fundamentally first-order: clip per-example gradients, add Gaussian noise,

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1vpnc20/coding_machine_learning/"> <img alt="Coding Machine Learning!"

<!-- SC_OFF --><div class="md"><p>I’m exploring Weight Space Learning and looking to connect with folks and mentors interested in working on research problems in this domain. (i