Throughput-OptimalTopology Design forCross-SiloFederatedLearning

Federated learning (FL) "involves training statistical models over remote devices or siloed data centers,suchasmobile phones orhospitals, whilekeepingdatalocalized"[56]because ofprivacy concerns orlimitedcommunication resources. Hence, clients only communicate with apotentially far-away (e.g., in another continent) orchestrator and do not Recent experimental and theoretical work suggests that, in practice,the first effect has been over-estimated by classic worst-caseconvergencebounds.