mlsanityData to 7 Oct 2026

TinyFedTL: Federated Transfer Learning on Tiny Devices

arXiv 2110.01107 ↗First posted 3 Oct 2021cs.LG cs.DCcited by 6

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Abstract (arXiv)

TinyML has rose to popularity in an era where data is everywhere. However, the data that is in most demand is subject to strict privacy and security guarantees. In addition, the deployment of TinyML hardware in the real world has significant memory and communication constraints that traditional ML fails to address. In light of these challenges, we present TinyFedTL, the first implementation of federated transfer learning on a resource-constrained microcontroller.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 8 of its 16 references that are in the map. First posted on arXiv 3 Oct 2021.

Builds on

8 of 16 references.

References · 8

  1. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
  2. 2019Advances and Open Problems in Federated Learningcited by 3,021
  3. 2019Federated Learning in Mobile Edge Networks: A Comprehensive Surveycited by 407
  4. 2020TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systemscited by 161
  5. 2019Overcoming Forgetting in Federated Learning on Non-IID Datacited by 120
  6. 2020Benchmarking TinyML Systems: Challenges and Directioncited by 89
  7. 2019Visual Wake Words Datasetcited by 46
  8. 2020FedCD: Improving Performance in non-IID Federated Learningcited by 13

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 2.

6 papers.

  1. 2022Intelligence at the Extreme Edge: A Survey on Reformable TinyMLcited by 13
  2. 2024On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Casecited by 9
  3. 2025From Tiny Machine Learning to Tiny Deep Learning: A Surveycited by 5
  4. 2023TinyReptile: TinyML with Federated Meta-Learningcited by 4
  5. 2024TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignmentcited by 1
  6. 2025RockNet: Distributed Learning on Ultra-Low-Power Devicescited by 1