GB202314691D0 - Method and system for federated learning - Google Patents
Method and system for federated learningInfo
- Publication number
- GB202314691D0 GB202314691D0 GBGB2314691.3A GB202314691A GB202314691D0 GB 202314691 D0 GB202314691 D0 GB 202314691D0 GB 202314691 A GB202314691 A GB 202314691A GB 202314691 D0 GB202314691 D0 GB 202314691D0
- Authority
- GB
- United Kingdom
- Prior art keywords
- federated learning
- federated
- learning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/098—Distributed learning, e.g. federated learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/KR2023/014974 WO2024072074A1 (en) | 2022-09-27 | 2023-09-27 | Method and system for federated learning |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GBGB2214058.6A GB202214058D0 (en) | 2022-09-27 | 2022-09-27 | Method and system for federated learning |
Publications (2)
Publication Number | Publication Date |
---|---|
GB202314691D0 true GB202314691D0 (en) | 2023-11-08 |
GB2625622A GB2625622A (en) | 2024-06-26 |
Family
ID=83978738
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GBGB2214058.6A Ceased GB202214058D0 (en) | 2022-09-27 | 2022-09-27 | Method and system for federated learning |
GB2314691.3A Pending GB2625622A (en) | 2022-09-27 | 2023-09-25 | Method and system for federated learning |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GBGB2214058.6A Ceased GB202214058D0 (en) | 2022-09-27 | 2022-09-27 | Method and system for federated learning |
Country Status (2)
Country | Link |
---|---|
GB (2) | GB202214058D0 (en) |
WO (1) | WO2024072074A1 (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115860116A (en) * | 2022-12-02 | 2023-03-28 | 广州图灵科技有限公司 | Federal learning method based on generative model and deep transfer learning |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11494700B2 (en) * | 2020-09-16 | 2022-11-08 | International Business Machines Corporation | Semantic learning in a federated learning system |
-
2022
- 2022-09-27 GB GBGB2214058.6A patent/GB202214058D0/en not_active Ceased
-
2023
- 2023-09-25 GB GB2314691.3A patent/GB2625622A/en active Pending
- 2023-09-27 WO PCT/KR2023/014974 patent/WO2024072074A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2024072074A1 (en) | 2024-04-04 |
GB2625622A (en) | 2024-06-26 |
GB202214058D0 (en) | 2022-11-09 |
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