BR112022011012A2 - Modelos de mistura federada - Google Patents
Modelos de mistura federadaInfo
- Publication number
- BR112022011012A2 BR112022011012A2 BR112022011012A BR112022011012A BR112022011012A2 BR 112022011012 A2 BR112022011012 A2 BR 112022011012A2 BR 112022011012 A BR112022011012 A BR 112022011012A BR 112022011012 A BR112022011012 A BR 112022011012A BR 112022011012 A2 BR112022011012 A2 BR 112022011012A2
- Authority
- BR
- Brazil
- Prior art keywords
- machine learning
- models
- learning model
- processing device
- federed
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Image Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Machine Translation (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GR20190100556 | 2019-12-13 | ||
| PCT/US2020/064889 WO2021119601A1 (en) | 2019-12-13 | 2020-12-14 | Federated mixture models |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| BR112022011012A2 true BR112022011012A2 (pt) | 2022-08-16 |
Family
ID=74175956
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| BR112022011012A BR112022011012A2 (pt) | 2019-12-13 | 2020-12-14 | Modelos de mistura federada |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US20230036702A1 (https=) |
| EP (1) | EP4073714A1 (https=) |
| JP (1) | JP7635234B2 (https=) |
| KR (1) | KR20220112766A (https=) |
| CN (1) | CN114787824B (https=) |
| BR (1) | BR112022011012A2 (https=) |
| WO (1) | WO2021119601A1 (https=) |
Families Citing this family (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210312336A1 (en) * | 2020-04-03 | 2021-10-07 | International Business Machines Corporation | Federated learning of machine learning model features |
| US11842260B2 (en) * | 2020-09-25 | 2023-12-12 | International Business Machines Corporation | Incremental and decentralized model pruning in federated machine learning |
| US11790039B2 (en) * | 2020-10-29 | 2023-10-17 | EMC IP Holding Company LLC | Compression switching for federated learning |
| CN113516249B (zh) * | 2021-06-18 | 2023-04-07 | 重庆大学 | 基于半异步的联邦学习方法、系统、服务器及介质 |
| US11777812B2 (en) * | 2021-06-25 | 2023-10-03 | Qualcomm Technologies, Inc. | Zone-based federated learning |
| CN113435537B (zh) * | 2021-07-16 | 2022-08-26 | 同盾控股有限公司 | 基于Soft GBDT的跨特征联邦学习方法、预测方法 |
| US11443245B1 (en) * | 2021-07-22 | 2022-09-13 | Alipay Labs (singapore) Pte. Ltd. | Method and system for federated adversarial domain adaptation |
| KR20240058131A (ko) * | 2021-08-31 | 2024-05-03 | 도쿄엘렉트론가부시키가이샤 | 정보 처리 방법, 정보 처리 장치, 및 정보 처리 시스템 |
| JP7566707B2 (ja) * | 2021-09-15 | 2024-10-15 | 株式会社東芝 | 学習システムおよび方法 |
| US20230110602A1 (en) * | 2021-10-13 | 2023-04-13 | International Business Machines Corporation | Federated learning model lineage |
| US20230110975A1 (en) * | 2021-10-13 | 2023-04-13 | International Business Machines Corporation | Recommending model contributions based on federated learning lineage |
| US20230117768A1 (en) * | 2021-10-15 | 2023-04-20 | Kiarash SHALOUDEGI | Methods and systems for updating optimization parameters of a parameterized optimization algorithm in federated learning |
| CN114004363B (zh) * | 2021-10-27 | 2024-05-31 | 支付宝(杭州)信息技术有限公司 | 联合更新模型的方法、装置及系统 |
| EP4238291B1 (en) * | 2021-11-16 | 2025-08-27 | Huawei Technologies Co., Ltd. | Management entity, network element, and methods for supporting anomaly detection for communication networks |
| CH719269B1 (de) * | 2021-12-17 | 2024-04-15 | Palantir Technologies Inc | Verfahren zur Identifizierung eines Zielobjekts und Modell- und Sensororchestrierungssystem |
| CN116418686A (zh) * | 2021-12-31 | 2023-07-11 | 华为技术有限公司 | 模型的数据处理方法及装置 |
| CN114781540B (zh) * | 2022-05-09 | 2025-02-07 | 国网智能电网研究院有限公司 | 基于电力物联网的全局模型生成方法、装置、设备及介质 |
| EP4524830A4 (en) * | 2022-05-30 | 2025-07-16 | Huawei Tech Co Ltd | MODEL TRAINING SYSTEM, MODEL TRAINING METHOD, TRAINING DEVICE, AND TRAINING NODE |
| EP4296909A1 (de) * | 2022-06-22 | 2023-12-27 | Siemens Aktiengesellschaft | Individuelle testmodelle für generalisierte maschinelle lernmodelle |
| KR102573880B1 (ko) * | 2022-07-21 | 2023-09-06 | 고려대학교 산학협력단 | 다중-너비 인공신경망에 기반한 연합 학습 시스템 및 연합 학습 방법 |
| KR102684383B1 (ko) * | 2022-12-22 | 2024-07-12 | 서울과학기술대학교 산학협력단 | 블록체인 기반 부분 모델 동기화 방법 |
| US20240242505A1 (en) * | 2023-01-14 | 2024-07-18 | Radiusai, Inc. | Visual analytics |
| KR20240114646A (ko) * | 2023-01-17 | 2024-07-24 | 숭실대학교산학협력단 | 파라미터 부분 공유에 기초한 개인화 연합 학습 방법 및 장치 |
| CN116597672B (zh) * | 2023-06-14 | 2024-02-13 | 南京云创大数据科技股份有限公司 | 基于多智能体近端策略优化算法的区域信号灯控制方法 |
| CN116975683B (zh) * | 2023-06-27 | 2025-10-10 | 中国科学技术大学 | 一种基于用户分簇和模型分层的个性化联邦学习方法 |
| US20250077948A1 (en) * | 2023-08-29 | 2025-03-06 | Dell Products L.P. | In-Field Radio Frequency Impairment Compensation |
| KR20250036337A (ko) * | 2023-09-07 | 2025-03-14 | 감바랩스(주) | 음성과 음향 인식을 위한 인공 신경망 모델 학습 장치 및 추론 시스템 |
| US12602214B2 (en) * | 2023-09-20 | 2026-04-14 | Accenture Global Solutions Limited | Dynamic evaluation and improvement of energy efficiency of computer code |
| CN117009095B (zh) * | 2023-10-07 | 2024-01-02 | 湘江实验室 | 一种隐私数据处理模型生成方法、装置、终端设备及介质 |
| CN117408330B (zh) * | 2023-12-14 | 2024-03-15 | 合肥高维数据技术有限公司 | 面向非独立同分布数据的联邦知识蒸馏方法及装置 |
| CN117575291B (zh) * | 2024-01-15 | 2024-05-10 | 湖南科技大学 | 基于边缘参数熵的联邦学习的数据协同管理方法 |
| KR20260021147A (ko) * | 2024-08-05 | 2026-02-13 | 삼성전자주식회사 | 전자 장치 및 그 제어 방법 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150324690A1 (en) * | 2014-05-08 | 2015-11-12 | Microsoft Corporation | Deep Learning Training System |
| US20150324686A1 (en) * | 2014-05-12 | 2015-11-12 | Qualcomm Incorporated | Distributed model learning |
| US10354184B1 (en) * | 2014-06-24 | 2019-07-16 | Amazon Technologies, Inc. | Joint modeling of user behavior |
| US10402469B2 (en) * | 2015-10-16 | 2019-09-03 | Google Llc | Systems and methods of distributed optimization |
| CN110268423A (zh) * | 2016-08-19 | 2019-09-20 | 莫维迪乌斯有限公司 | 用于深度学习模型的分布式训练的系统和方法 |
| US20180089587A1 (en) * | 2016-09-26 | 2018-03-29 | Google Inc. | Systems and Methods for Communication Efficient Distributed Mean Estimation |
| WO2018085643A1 (en) * | 2016-11-04 | 2018-05-11 | Google Llc | Mixture of experts neural networks |
| US20180285759A1 (en) * | 2017-04-03 | 2018-10-04 | Linkedin Corporation | Online hyperparameter tuning in distributed machine learning |
| US11727301B2 (en) * | 2017-07-21 | 2023-08-15 | Sap Se | Exploiting local inter-task relationships in adaptive multi-task learning |
| US11328210B2 (en) * | 2017-12-29 | 2022-05-10 | Micron Technology, Inc. | Self-learning in distributed architecture for enhancing artificial neural network |
| US11836576B2 (en) * | 2018-04-13 | 2023-12-05 | International Business Machines Corporation | Distributed machine learning at edge nodes |
| US11836643B2 (en) * | 2019-03-08 | 2023-12-05 | Nec Corporation | System for secure federated learning |
| EP3798934A1 (en) * | 2019-09-27 | 2021-03-31 | Siemens Healthcare GmbH | Method and system for scalable and decentralized incremental machine learning which protects data privacy |
| US12164677B2 (en) * | 2022-12-08 | 2024-12-10 | Capital One Services, Llc | Methods and systems for federated learning utilizing customer synthetic data models |
-
2020
- 2020-12-14 CN CN202080084734.6A patent/CN114787824B/zh active Active
- 2020-12-14 EP EP20839191.2A patent/EP4073714A1/en active Pending
- 2020-12-14 BR BR112022011012A patent/BR112022011012A2/pt unknown
- 2020-12-14 US US17/756,957 patent/US20230036702A1/en active Pending
- 2020-12-14 WO PCT/US2020/064889 patent/WO2021119601A1/en not_active Ceased
- 2020-12-14 JP JP2022534677A patent/JP7635234B2/ja active Active
- 2020-12-14 KR KR1020227018464A patent/KR20220112766A/ko active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| JP2023505973A (ja) | 2023-02-14 |
| WO2021119601A1 (en) | 2021-06-17 |
| US20230036702A1 (en) | 2023-02-02 |
| CN114787824A (zh) | 2022-07-22 |
| CN114787824B (zh) | 2026-04-17 |
| KR20220112766A (ko) | 2022-08-11 |
| EP4073714A1 (en) | 2022-10-19 |
| JP7635234B2 (ja) | 2025-02-25 |
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