Home › Entities › academia › Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices

Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices

Research article (2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
CreativeWork academia openalex:W3157503981
Press Enter · cited answer in seconds

Summary

Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices is a scholarly article[1].

Key Facts

  • Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices
MLA “Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices.
BibTeX @misc{4ortxyz_quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices}}, year = {2026}, url = {https://4ort.xyz/entity/quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices — https://4ort.xyz/entity/quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/quantization-and-knowledge-distillation-for-efficient-federated-learning-on-edge-devices · Last refreshed: