Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization

no code implementations • 31 Oct 2023 • Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman

We provide the online optimal algorithm when the minimizers of the hitting cost function evolve as a general stochastic process, which, for the case of martingale process, takes the form of a distribution-agnostic dynamic interpolation algorithm (LAI).

Management

Multi-Model Federated Learning with Provable Guarantees

no code implementations • 9 Jul 2022 • Neelkamal Bhuyan, Sharayu Moharir, Gauri Joshi

Federated Learning (FL) is a variant of distributed learning where edge devices collaborate to learn a model without sharing their data with the central server or each other.

Federated Learning

Multi-Model Federated Learning

no code implementations • 7 Jan 2022 • Neelkamal Bhuyan, Sharayu Moharir

Specifically, every client is able to train any one of M models at a time and the server maintains a model for each of the M models which is typically a suitably averaged version of the model computed by the clients.

Federated Learning