Search Results for author: Satyavrat Wagle

Found 3 papers, 0 papers with code

A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning

no code implementations7 Aug 2023 Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton

Augmenting federated learning (FL) with direct device-to-device (D2D) communications can help improve convergence speed and reduce model bias through rapid local information exchange.

Federated Learning Reinforcement Learning (RL)

Network-Aware Optimization of Distributed Learning for Fog Computing

no code implementations17 Apr 2020 Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

Unlike traditional federated learning frameworks, our method enables devices to offload their data processing tasks to each other, with these decisions determined through a convex data transfer optimization problem that trades off costs associated with devices processing, offloading, and discarding data points.

Distributed, Parallel, and Cluster Computing

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