283 citations · 588 across the 29 of their papers we have counts for
4 papers · 1 filter
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
Yi Zhou, Parikshit Ram, Theodoros Salonidis +3
We address the relatively unexplored problem of hyper-parameter optimization (HPO) for federated learning (FL-HPO). We introduce Federated Loss suRface Aggregation (FLoRA), the fir…
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement
Parikshit Ram, Kaushik Sinha
The mathematical formalization of a neurological mechanism in the olfactory circuit of a fruit-fly as a locality sensitive hash (Flyhash) and bloom filter (FBF) has been recently p…
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Chen Fan, Parikshit Ram, Sijia Liu
We propose a new computationally-efficient first-order algorithm for Model-Agnostic Meta-Learning (MAML). The key enabling technique is to interpret MAML as a bilevel optimization…
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization
Paulito P. Palmes, Akihiro Kishimoto, Radu Marinescu +2
The pipeline optimization problem in machine learning requires simultaneous optimization of pipeline structures and parameter adaptation of their elements. Having an elegant way to…