Chuck Zach

Federated learning is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own training data. Due to the heterogeneity of the client datasets, standard federated optimization methods such as Federated Averaging (FedAvg) are often difficult to tune and exhibit unfavorable convergence behavior. In non-federated settings, adaptive optimization methods have had notable success in combating such issues.

Charles Zach, Jr. was born June 24, 1935, on a farm west of Wilber to Charley Zach, Sr., and Augusta (Kasparek) Zach. Charlie passed away Aug. 11, 2016, at the Wilber Care Center at the age of 81. Charlie attended grade school near his home until the eighth grade. He served in the United States Army during the Korean War, from April 1, 1954, to March 29, 1957, when he was honorably discharged. He was a member of the American Legion Louis Milan Post 101 of Wilber.