Federated Learning is a modern technique to make AI more private and personalised by offering training directly on the device. It omits the need of moving the data to a central server. It has developed various potential in healthcare, finance and other sectors.
What is meant by Federated Learning?
Federated Learning is the process of training a global model through updates from multiple local devices. It is a decentralised machine learning process which is completely opposite of the traditional one.
Instead of delivering the data to the central server, only the updates from the local devices are sent to the server. This makes the data secure and improves the global model constantly at the same time.
How does Federated Learning Work?
- Step 1: A global model is made and sent to various devices. These devices include smartphones, computers, laptops and other devices supporting it.
- Step 2: The model is trained with the help of each local device or network.
- Step 3: The local data is not shared on the central server. For improving data privacy, updates from the local device is sent to the global server.
- Step 4: The central server takes all the data and understands it to improve the global model.
- Step 5: The process is repeated.
Benefits of Federated Learning
- Privacy-First Learning: It adds privacy to our personal data by not transferring the raw data from the device.
- Low Bandwidth Usage: It only transfers updates to the global server. Therefore it has low bandwidth usage.
- Personalised AI: Models are trained with local preference. Therefore, AI models adapt to varying individual behaviours.
- Real Time Training: Models evolve with real time training over time.
Also Read: Beyond the Hype: What the Numbers Say About AI in Business?
Real World Applications of Federated Learning
- Google Gboard: Google Gboard identifies the typing patterns of users, offers predictive texts as well but does not share this data to the server.
- Healthcare: By using Federated Learning, hospitals can offer timely treatment to patients by offering personalised care and treatment.
- Smart Gadgets: Smartwatches, Smartglasses and other wearables can offer personalised results by training models locally. It does not transfer local information to the server.
Challenges of Federated Learning
- Varying Data: Many local devices deliver a large amount of non-uniform data updates which can bring inconsistencies to the overall models.
- Device Comparability Issues: Devices are coming up with varying features in terms of processor, batteries and life. It is a challenge to its long term usage.
Federated Learning vs. Machine Learning
| Parameter | Traditional ML | Federated Learning |
| Data Storage | Centralised | De-centralised |
| Privacy | Low | High |
| Personalised Training | Generalised | Personalised |
| Bandwidth Usage | High | Low |
| Security Risk | High | Low |
Future of Federated Learning
The major drawing in cutting edge technologies is the lack of data privacy. It can be removed by embedding Federated Learning into the technologies.
- AI integrated 6G networks: The upcoming 6G technological advancement is currently aiming to embed the intelligence feature of the technology directly into the fibre of the network. It helps in reducing the data privacy problem.
- Development of Tiny LLMs: Tiny LLMs are developed for local uses. It helps in understanding the local behaviour wisely and improving the global model at the same time.
The Best Use of Technology
The use of Federated Learning is promising in the future but the best use of AI and these cutting edge technologies is still overlooked. Technology is to empower us with the freedom to stick to our spiritual basics by making holy scriptures and their understanding more accessible.
Today, Jagatguru Tatvdarshi Sant Rampal Ji Maharaj is highlighting a bigger picture attached to the technological developments in His spiritual discourses. He has shown proofs from the holy Kabir Sagar and various other foretellers have also prophesied the beginning of the Golden era under the leadership of a divine man. The aim of technological developments is to spread this divine information across the globe and make it easier for everyone to get access.
Since 1988, the relentless approach of Sant Rampal Ji Maharaj through His noble initiatives has paved the way for the ones who really need help. Some of its noble initiatives include, Dowry free marriage called Ramaini, Intoxication-free world, regular free eye and dental checkups, free blood donation camps and even the most inspiring Annapurna Muhim — the initiative to provide assistance of food, education, clothing and shelter to the poor.
For more spiritual insights, visit –
- Website: www.jagatgururampalji.org
- YouTube channel: Sant Rampal Ji Maharaj
- Facebook Page: Spiritual Leader Saint Rampal Ji
- X handle: @SaintRampalJiM
Federated Learning FAQs
What is the main advantage of Federated Learning?
Data Privacy
Where is Federated Learning used?
In banks and financial institution
Is Google using Federated Learning?
Yes
Is Federated Learning safe?
Yes
