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  • Writer's picturePeter K F Cheung SBS

FedAvg

  1. FADE IN


  2. Act 1


  3. EXT. ESTATE SWIMMING POOL - 20:00


  4. A few SWIMMERS. PETER enters the pool.


  5. PETER (V.O.): Today is May 4th. It reminds me that this pool opens on May 1st. For the past three days, I swam elsewhere.


  6. PETER swims past a COACH and his young PUPIL.


  7. PETER (V.O.): No one has taught me how to swim.


  8. Swimming breast strokes to one end.

  9. PETER (V.O.) (Cont'd): When young, I played in the water. Then, I observed how others swam.


  10. Turning around, Peter swims to the other end.


  11. PETER (V.O.) (Cont'd): I was curious how others could do it so well.


  12. Swimming freestyle.


  13. PETER (V.O.) (Cont'd): I practise nearly daily, trying to do better.

  14. Act 2


  15. FLASHBACK


  16. INT. STUDY - 11:00 (Earlier today)


  17. Peter is reading some papers on screen.


  18. PETER (V.O.): What's "federated learning" in AI?


  19. We see Peter posting the question to ChatGPT.


  20. PETER (V.O.) (Cont'd): It's a machine learning technique that enables multiple devices to collaboratively train a shared machine learning model without sharing their data with each other.


  21. Pausing.


  22. PETER (V.O.) (Cont'd): I used to think that in machine learning, a large dataset is collected in one location and the model is trained on the data.


  23. Reading.


  24. PETER (V.O.) (Cont'd): In federated learning, the data remains on the individual devices and the model is trained locally on the individual device.


  25. Reading.


  26. PETER (V.O.) (Cont'd): The updated models for each device are then sent to a central server, where they're aggregated to create a new, improved model.


  27. Thinking.


  28. PETER (V.O.) (Cont'd): To allow for privacy and secrecy, this federated learning is really smart!


  29. Pausing.


  30. PETER (V.O.) (Cont'd): I want to know more.


  31. Posing more questions to ChatGPT, Peter studies and analyses them.


  32. PETER (V.O.) (Cont'd): Ah, "Federated Averaging" (FedAvg) is even more interesting.


  33. Pausing.


  34. PETER (V.O.) (Cont'd): It trains a global model by aggregating the local models trained on different devices in a decentralised network.


  35. Thinking.


  36. PETER (V.O.) (Cont'd): Its application includes natural language processing. Hmm, I believe I'm enjoying this benefit.


  37. END FLASHBACK


  38. EXT. ESTATE SWIMMING POOL - CONTINUOUS


  39. PETER (V.O.) (Cont'd): Hours ago, I generated an opportunity to talk about AI with knowledgeable experts.


  40. Smiling.


  41. PETER (V.O.) (Cont'd): While they know federated learning readily, they haven't heard the idea of FedAvg.


  42. Pausing.


  43. PETER (V.O.) (Cont'd): I don't think the FedAvg is cooked up by ChatGPT, as the concept sounds like Federated Learning 2.0 to me.


  44. Pausing.


  45. PETER (V.O.) (Cont'd): I admit that I've no background in any science and I only learn about federated learning and others today.


  46. Peter swims past a female SWIMMER.


  47. PETER (V.O.) (Cont'd): Today, I also read about the story of a famous Hollywood actress in the 1960s. She said the "her" in epic movie was gone.


  48. Pausing.


  49. PETER (V.O.) (Cont'd): In an album link I received today, I can recognize my former colleagues readily, but not myself!


  50. Act 3


  51. EXT. SWIMMING POOL - CONTINUOUS


  52. Peter swims a few butterfly strokes.


  53. PETER (V.O.) (Cont'd): I practise lifelong learning. I seize moments and convert them into opportunities for all to learn more and better.


  54. Taking a rest by the jacuzzi.


  55. PETER (V.O.) (Cont'd): The core of my strength is my capacity to make something value-added out of something.


  56. Swimming a few more butterfly strokes.


  57. PETER (V.O.) (Cont'd): Any turning points can come at the unexpected times and in unexpected ways. May 4th is always a good day!


  58. Peter leaves.


  59. FADE OUT


  60. THE END



















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