Return to Issue Details PRIVACY-PRESERVING FEDERATED LEARNING FRAMEWORK USING DIFFERENTIAL PRIVACY, BYZANTINE-RESILIENT AGGREGATION, AND CARBON-AWARE DISTRIBUTED TRAINING FOR SECURE, FAIR, AND SUSTAINABLE ARTIFICIAL INTELLIGENCE Download Download PDF