no code implementations • 10 Nov 2023 • Barış Büyüktaş, Gencer Sumbul, Begüm Demir
After presenting an extensive overview of the selected algorithms, a theoretical comparison of the algorithms is conducted based on their: 1) local training complexity; 2) aggregation complexity; 3) learning efficiency; 4) communication cost; and 5) scalability in terms of number of clients.
no code implementations • 1 Jun 2023 • Barış Büyüktaş, Gencer Sumbul, Begüm Demir
The MF module performs iterative model averaging to learn without accessing data on clients in the case that clients are associated with different data modalities.