Laya Rafiee Sevyeri

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

"In Federated Learning (FL), a number of clients or devices collaborate to train a model without sharing their data. Models are optimized locally at each client and further communicated to a central hub for aggregation. While FL is an appealing decentralized training paradigm, heterogeneity among da…