http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115280338-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8ad87cb0e76dc9a98a78f2eed23859fc |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 |
filingDate | 2020-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bbea38ca3d717ec1691c1954468b6ef4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_22c5b40589cf40d670ee09f4d784d46e |
publicationDate | 2022-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-115280338-A |
titleOfInvention | A model training method, electronic device and storage medium based on federated learning |
abstract | A model training method based on federated learning, comprising: a child node device sends model parameters of a local model and weight information corresponding to the local model (S201); the model parameters and the weight information are used for the master node device to train a global model Model. Also disclosed are another model training method, electronic device and storage medium based on federated learning. |
priorityDate | 2020-03-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419524614 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6423 |
Total number of triples: 14.