no code implementations • 20 Feb 2022 • Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias
At the final update, each client computes the joint gradient over both client-specific and common weights and returns the gradient of common parameters to the server.
no code implementations • 7 Sep 2020 • Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos, Alexandre Galashov
We formulate meta learning using information theoretic concepts; namely, mutual information and the information bottleneck.
no code implementations • 30 Sep 2018 • Michalis K. Titsias, Sotirios Nikoloutsopoulos
The resulting method is flexible and it can be easily incorporated to any standard off-policy and on-policy algorithms, such as those based on temporal differences and policy gradients.