IP Library › Granted Patent US 12,718,140
Granted Patent B2
US 12,718,140 · App. 17/413,897 · Granted Aug 25, 2026

Distributed training of machine learning models for personalization

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,718,140
App. No.
17/413,897
Filed
Jun 14, 2021
Granted
Aug 25, 2026
Kind
B2
Art Unit
2148
USPC
706/12
Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 14, 2021
From: KUDINOV, MIKHAIL SERGEEVICH; PIONTKOVSKAYA, IRINA IGOREVNA; NEVIDOMSKII, ALEKSEI YURIEVICH; POPOV, VADIM SERGEEVICH; VYTOVTOV, PETR KONSTANTINOVICH; POLUBOTKO, DMITRY VALERIEVICH; MALYUGINA, OLGA VALERIEVNA
To: SAMSUNG ELECTRONICS CO., LTD.
Reel/Frame 056537/0276 →
Priority Claims (1)
RU RU2018144318 · Dec 14, 2018 · national
Continuity (1)
Related Publication 20220058524A1 · Feb 24, 2022
References Cited (49)
US 8429103B1 · Aradhye et al. · 2013 [cited by applicant]
US 8429106B2 · Downs et al. · 2013 [cited by applicant]
US 8893032B2 · Bruck et al. · 2014 [cited by applicant]
US 9026479B1 · Baluja et al. · 2015 [cited by applicant]
US 9105046B1 · Dias et al. · 2015 [cited by applicant]
US 9183259B1 · Marra et al. · 2015 [cited by applicant]
US 9224100B1 · Chatterjee et al. · 2015 [cited by applicant]
US 9743458B2 · Jain et al. · 2017 [cited by applicant]
US 9836484B1 · Bialynicka-Birula et al. · 2017 [cited by applicant]
US 11403540B2 · Sanketi · 2022 [cited by examiner]
US 20130346347A1 · Patterson et al. · 2013 [cited by applicant]
US 20150242760A1 · Miao et al. · 2015 [cited by applicant]
US 20150317398A1 · Phillips · 2015 [cited by applicant]
US 20160139582A1 · Matsuoka et al. · 2016 [cited by applicant]
US 20160197865A1 · Kim · 2016 [cited by applicant]
US 20160305681A1 · Matsuoka et al. · 2016 [cited by applicant]
US 20160342389A1 · Weinstein et al. · 2016 [cited by applicant]
US 20160358098A1 · Duesterwald et al. · 2016 [cited by applicant]
US 20170177723A1 · Price et al. · 2017 [cited by applicant]
US 20180032871A1 · Holt et al. · 2018 [cited by applicant]
US 20180150728A1 · Vahdat · 2018 [cited by examiner]
US 20190087383A1 · Zhou et al. · 2019 [cited by applicant]
US 20190378028A1 · Chaudhuri · 2019 [cited by examiner]
US 20190385043A1 · Choudhary · 2019 [cited by examiner]
US 20200134490A1 · Chen · 2020 [cited by examiner]
US 20200219014A1 · Verma et al. · 2020 [cited by applicant]
CN 107885762A · 2018 [cited by applicant]
GB 2550682A · 2017 [cited by applicant]
RU 2673708C1 · 2018 [cited by applicant]
RU 2686006C1 · 2019 [cited by applicant]
WO 2017132590A1 · 2017 [cited by applicant]
WO 2017176356A2 · 2017 [cited by applicant]
WO 2018125264A1 · 2018 [cited by applicant]
WO 2018213205A1 · 2018 [cited by applicant]
Retrospective User Input Inference and Correction (Year: 2018). [cited by examiner]
“Applied Federated Learning: Improving Google Keyboard Query Suggestions” (Year: 2018). [cited by examiner]
What is a MAC Address, https://www.brainboxes.com/faq/what-is-a-mac-address. [cited by examiner]
Communication dated May 9, 2022 issued by the European Patent Office in EP Application No. 19897515.3. [cited by applicant]
Hard et al., “Federated Learning for Mobile Keyboard Prediction”, Nov. 8, 2018, arXiv:1811.03604v1 [cs.CL], 7 pages total. [cited by applicant]
Yoon et al., “Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network”, Jan. 13, 2017, arXiv:1701.03578v1, 7 pages total. [cited by applicant]
Yang et al., “Applied Federated Learning: Improving Google Keyboard Query Suggestions”, Dec. 7, 2018, arXiv:1812.02903v1 [cs.LG], 9 pages total. [cited by applicant]
International Search Report (PCT/ISA/210) dated Mar. 24, 2020 issued by the International Searching Authority in International Application No. PCT/KR2019/017707. [cited by applicant]
Written Opinion (PCT/ISA/237) dated Mar. 24, 2020 issued by the International Searching Authority in International Application No. PCT/KR2019/017707. [cited by applicant]
Communication issued on Oct. 11, 2023 by the European Patent Office for European Application No. 19897515.3. [cited by applicant]
Communication dated Jun. 27, 2024, issued by the Chinese Patent Office in Chinese Application No. 201980082850.1. [cited by applicant]
Yang et al., “Applied Federated Learning Improving Google Keyboard Query Suggestions”, Google LLC, 2018, arXiv:1812.02903v1 [cs.LG] Dec. 7, 2018 (9 pages total). [cited by applicant]
Nguyen et al., “DioT: A Self-learning System for Detecting Compromised IoT Devices”, ArXiv, May 11, 2018, 18 total pages, arXiv:1804.07474v2, XP093266365. [cited by applicant]
Office Action dated Apr. 8, 2025, issued by European Patent Office in European Patent Application No. 19897515.3. [cited by applicant]
Office Action dated Jan. 23, 2025, issued by Chinese Patent Office in Chinese Patent Application No. 201980082850.1. [cited by applicant]