Browsing by Subject "federated learning"

Now showing items 1-2 of 2

    • Directed Graphs and Applications 
      Kidd, Brian J. (2022-07-21)
      Directed graphs have widespread applicability, so there is continued need for both computational and theoretical improvements. We extend the standard methodology in three different ways, which constitute the main chapters ...
    • Federated Offline Reinforcement Learning 
      Ragothaman, Nitin Kasshyap (2023-04-19)
      Federated learning aims to solve a global optimization problem by collectively learning from a group of clients without sharing data they possess. In offline reinforcement learning, an agent aims to learn an optimal policy ...