Tokyo Shinjuku Park Tower

Shinjuku Park Tower, 3 Chome-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, japan, 160-0023

The Shinjuku Park Tower Centre is on the 30th floor of a 52-storey landmark building in the business district of Shinjuku - a major commercial and government administrative area. Nishi Shinjuku is noted for its impressive skyline of skyscrapers. The centre is three minutes' walk from one of the tallest buildings in Japan - the Tokyo Metropolitan Government Building, designed by the same architect who created the Park Tower. The business community knows the building for its five-star hotel, which is above the centre. Many corporations have their HQs here, including airlines, food companies, technology giants and computer gaming firms. The centre has a meeting room that will take up to 60 people. There's a complimentary shuttle bus service from Shinjuku station (the busiest station in the world) to the building and excellent public transport links to Narita International Airport by airport limousine from Shinjuku Station. It's next to the Expressway Number 4 on the motorway network.

Tokyo, Shibuya Glass City

35th Floor, Glass City Shibuya 6F, 16-28 , Tokyo, japan, 150-0036

The Shibuya Glass City Business centre is located on the 6th floor of this 11 storey grade A office building in Tokyo's colourful Shibuya business district. This is also known as Tokyo's silicon valley and is home to many IT and technology businesses. Conveniently located, the nearest station is Shinsen on the Keio Inokashira line and the centre is an 8 minute walk from Shibuya JR station which offers connections to JR East Japan Rail, Keio Rail, Tokyu Rail and the Tokyo Metro (Fukutoshin , Ginza, Hanzomon & Den'entoshi lines). There is convenient access to all major cities and both Haneda and Narita international airports. The area has many major department stores, shopping malls, restaurants and night clubs and Yoyogi Park is nearby. With its central location and excellent services, Regus Shibuya Glass City Centre is a flexible and convenient venue in the middle of this major business district.

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This instructor-led, live training in Tokyo (online or onsite) is aimed at advanced-level AI researchers, data scientists, and security specialists who wish to implement federated learning techniques for training AI models across multiple edge devices while preserving data privacy. By the end of this training, participants will be able to:
  • Understand the principles and benefits of federated learning in Edge AI.
  • Implement federated learning models using TensorFlow Federated and PyTorch.
  • Optimize AI training across distributed edge devices.
  • Address data privacy and security challenges in federated learning.
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Federated Learning for Secure AI Collaboration

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This instructor-led, live training in Tokyo (online or onsite) is aimed at intermediate-level AI and data professionals who wish to understand and implement federated learning techniques for privacy-preserving machine learning and collaborative AI solutions across distributed data sources. By the end of this training, participants will be able to:
  • Understand the core concepts and benefits of federated learning.
  • Implement distributed training strategies for AI models.
  • Apply federated learning techniques to secure data-sensitive collaborations.
  • Explore case studies and practical examples of federated learning in healthcare and finance.
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Federated Learning in IoT and Edge Computing

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This instructor-led, live training in Tokyo (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Federated Learning in IoT and edge computing.
  • Implement Federated Learning models on IoT devices for decentralized AI processing.
  • Reduce latency and improve real-time decision-making in edge computing environments.
  • Address challenges related to data privacy and network constraints in IoT systems.
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Federated Learning for Finance

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This instructor-led, live training in Tokyo (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning techniques to enhance data privacy and collaborative AI in the financial industry. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Federated Learning in finance.
  • Implement Federated Learning models for privacy-preserving financial applications.
  • Analyze financial data collaboratively without compromising privacy.
  • Apply Federated Learning to real-world financial scenarios, such as fraud detection and risk management.
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Federated Learning for Healthcare

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This instructor-led, live training in Tokyo (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to healthcare scenarios, ensuring data privacy and effective collaboration across institutions. By the end of this training, participants will be able to:
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  • Implement Federated Learning models while ensuring patient data privacy.
  • Collaborate on AI model training across multiple healthcare institutions.
  • Apply Federated Learning to real-world healthcare case studies.
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Advanced Federated Learning Techniques

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This instructor-led, live training in Tokyo (online or onsite) is aimed at advanced-level professionals who wish to master cutting-edge Federated Learning techniques and apply them to large-scale AI projects. By the end of this training, participants will be able to:
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  • Handle non-IID data distributions in Federated Learning.
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Federated Learning for Privacy-Preserving AI

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This instructor-led, live training in Tokyo (online or onsite) is aimed at intermediate-level professionals who wish to understand and apply Federated Learning to ensure data privacy in AI development. By the end of this training, participants will be able to:
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  • Implement privacy-preserving machine learning models using Federated Learning techniques.
  • Address the challenges of data privacy in decentralized AI training.
  • Apply Federated Learning in real-world scenarios across various industries.
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This instructor-led, live training in Tokyo (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamentals of Federated Learning and its practical applications. By the end of this training, participants will be able to:
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  • Implement basic Federated Learning algorithms.
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Upcoming Courses

Federated Learning for Finance

2025-05-28 10:00
14 hours
Tokyo, Shibuya Glass City
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

Federated Learning for Healthcare

2025-06-11 10:00
21 hours
Tokyo Shinjuku Park Tower
¥ 683316 ~ (Online)
¥ 1366632 ~ (Classroom)

Federated Learning for Healthcare

2025-06-25 10:00
21 hours
Tokyo, Shibuya Glass City
¥ 683316 ~ (Online)
¥ 1366632 ~ (Classroom)

Federated Learning in IoT and Edge Computing

2025-07-09 10:00
14 hours
Tokyo Shinjuku Park Tower
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

Federated Learning in IoT and Edge Computing

2025-07-23 10:00
14 hours
Tokyo, Shibuya Glass City
¥ 455544 ~ (Online)
¥ 911088 ~ (Classroom)

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