IMPROVING THE COMPANY 星级: 8页 Improving Access to 星级: 45 页 On improving students 星级: 24 页 On improving the people 星级: 19 页 improving attendance 星级: 252 页 Improving China 星级: 19 页 Improving Communication 星级: 20 页 Improving...
Improving Fairness via Federated Learning Yuchen Zeng, Hongxu Chen, Kangwook Lee University of Wisconsin-Madison, USA. Links: Paper. Abstract Recently, lots of algorithms have been proposed for learning a fair classifier from decentralized data. However, many theoretical and algorithmic questions remain...
Hence, we employ this consensus to construct a flexible consortium chain that ensures efficient and reliable federated learning. Unlike PoS, DPoS, and PBFT, which sequentially select leader nodes, the dBFT provides higher fairness by offering each node an equal opportunity to be selected. The steps...
On the basis of effectiveness and fairness, one can characterize the MCA problem as: Fair–inefficient; Fair–efficient; Unfair–inefficient; Unfair–efficient. The ideal condition can be regarded as a state in which the efficiency is increased besides being characterized by a fair distribution. The...