Federated Learning Aggregation Patents: Leaders & White Space 2026
Federated Learning Aggregation Patents: Who Leads and Where the Field Is Still Open
31.8% concentration at the top. The top 5 assignees hold 179 of 563 records in scope, a leader well ahead of the rest of the field. Filings were effectively zero in 2017 and built steadily to a peak of 118 in 2023. 2021 to 2024 shows the clearest signal available, a rise from 47 to 91 records (+94%); years after 2024 are still filling in as publications catch up to filing dates, so treat the most recent bars as a floor, not a ceiling.
- 1QUALCOMM INC13.9%
- 2TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)6.6%
- 3FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV4.6%
- 4SAMSUNG ELECTRONICS CO LTD4.3%
- 5NOKIA TECHNOLOGIES OY2.5%
See the full federated learning aggregation analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about this landscape
Who holds the most patents in federated learning aggregation?
One assignee leads clearly with 78 of the 563 records in scope, more than five times the count held by the fifth-place filer at 14. The top 5 assignees combined account for 179 records, or 31.8% of the field, and the top 10 extend that to 231 records (41.0%). Below that top tier, the ranked field of 100 companies thins out quickly into occasional filers, so a freedom-to-operate review should prioritise the leader’s portfolio first.
Is federated learning aggregation patent activity growing or slowing?
Filing activity grew substantially through the period covered, rising from 47 records in 2021 to 91 in 2024, a 94% increase, with a peak year so far of 118 records in 2023. Figures for 2025 and 2026 appear lower, but that reflects the roughly 18-month lag between filing and publication rather than an actual slowdown. The most reliable read on momentum is the 2021-2024 window, not the most recent two years.
What patent classes cover federated learning aggregation inventions?
The dominant classification is G06N, covering AI-model computing, which appears on 81.2% of the 563 records in this dataset. H04L (digital information transmission) and G06F (general electric data processing) each appear on roughly a quarter of records, and H04W (wireless communication networks) on about one in nine. Because a single patent can carry several IPC codes, these percentages overlap rather than summing to 100%, which reflects how often aggregation inventions are claimed across both a learning method and a networking or data-processing angle.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Federated Learning Aggregation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.