|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:allows
|
decentralized model training
|
|
gptkbp:can_be_combined_with
|
reinforcement learning
|
|
gptkbp:can_be_used_for
|
natural language processing
|
|
gptkbp:can_provide
|
regulatory compliance
|
|
gptkbp:concept
|
gptkb:Artificial_Intelligence
addresses bias in AI
|
|
gptkbp:enables
|
collaborative learning
|
|
gptkbp:enhances
|
user experience
model accuracy
|
|
gptkbp:facilitates
|
cross-device learning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Federated Learning
|
|
gptkbp:improves
|
data privacy
|
|
gptkbp:introduced_in
|
gptkb:Google_AI
|
|
gptkbp:involves
|
multiple clients
|
|
gptkbp:is_a_form_of
|
collaborative filtering
|
|
gptkbp:is_a_framework_for
|
collaborative AI
supports heterogeneous data
|
|
gptkbp:is_a_solution_for
|
data silos
data sharing issues
|
|
gptkbp:is_a_subject_of
|
gptkb:academic_research
|
|
gptkbp:is_applicable_to
|
smart cities
|
|
gptkbp:is_applied_in
|
gptkb:Io_T_devices
healthcare
|
|
gptkbp:is_associated_with
|
edge computing
|
|
gptkbp:is_beneficial_for
|
data-scarce environments
|
|
gptkbp:is_characterized_by
|
local training
|
|
gptkbp:is_implemented_in
|
gptkb:Google
|
|
gptkbp:is_influenced_by
|
federated averaging
|
|
gptkbp:is_part_of
|
distributed machine learning
|
|
gptkbp:is_related_to
|
differential privacy
|
|
gptkbp:is_relevant_to
|
machine learning research
|
|
gptkbp:is_supported_by
|
gptkb:Tensor_Flow_Federated
|
|
gptkbp:is_used_in
|
gptkb:mobile_devices
gptkb:smartphone
gptkb:financial_services
|
|
gptkbp:is_utilized_for
|
recommendation systems
|
|
gptkbp:marketing_strategy
|
model training
increases data diversity
|
|
gptkbp:paradigm
|
distributed learning
|
|
gptkbp:reduces
|
data transfer costs
|
|
gptkbp:requires
|
secure aggregation
|
|
gptkbp:supports
|
personalized models
|
|
gptkbp:technique
|
reduces latency
enhances security
facilitates knowledge transfer
enables real-time learning
enhances model robustness
federated optimization
improves scalability
optimizes communication efficiency
preserves data locality
training models on local data
|
|
gptkbp:was_a_response_to
|
data privacy concerns
|
|
gptkbp:bfsParent
|
gptkb:machine_learning
|
|
gptkbp:bfsLayer
|
3
|