Research map / Federated learning and privacy

Differential privacy: research map

774 accepted papers on Differential privacy in Federated learning and privacy, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 9 approaches. The busiest year so far is 2026.

Within Federated learning and privacy, its share held steady from 28.9% in 2023–24 to 29.1% in 2025–26 (215 → 266 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).

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Approaches and key papers

Related topics in Federated learning and privacy

• Communication-efficient FL (382)
• Privacy attacks and secure learning (364)
• Personalized and heterogeneous FL (738)