Paper Citation Record · LEDGER

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.22855.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.22855 v2

Coverage vector

measured 47 of 47 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 84018493-5734-4c3c-af09-549a2b967d0f · outbound

This paper cites Absil and J.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Absil and J

Reference 1

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This paper cites Absil, R.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Absil, R

Reference 2

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This paper cites Balasubramanian and S.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Balasubramanian and S

Reference 3

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 4

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This paper cites Carlini and D.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Carlini and D

Reference 5

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 7

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This paper cites Davis, D.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Davis, D

Reference 8

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This paper cites Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds

Reference 9

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 10

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 11

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 12

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This paper cites Ghadimi and G.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Ghadimi and G

Reference 13

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 14

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This paper cites Federated Learning on Riemannian Manifolds with Differential Privacy.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Federated Learning on Riemannian Manifolds with Differential Privacy

Reference 15

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This paper cites Huang, W.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Huang, W

Reference 16

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This paper cites Kairouz, H.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Kairouz, H

Reference 17

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This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 18

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 19

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This paper cites Khanduri, P.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Khanduri, P

Reference 20

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This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Federated Learning: Strategies for Improving Communication Efficiency

Reference 21

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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This paper cites Federated Learning on Riemannian Manifolds.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Federated Learning on Riemannian Manifolds

Reference 23

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 24

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This paper cites Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms

Reference 25

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This paper cites Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization

Reference 26

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach McMahan, E

Reference 29

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Nesterov and V

Reference 30

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Pedregosa, G

Reference 32

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This paper cites Rabad \'a n and A.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Rabad \'a n and A

Reference 33

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Local SGD Converges Fast and Communicates Little

Reference 34

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 35

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Townsend, N

Reference 36

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Utpala, A

Reference 38

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This paper cites From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds

Reference 39

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

Reference 40

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Xue and V

Reference 43

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Unresolved cited work

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This paper cites Zhang, J.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Zhang, J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:43.459736Z

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Observation ad47c497-b149-498a-be8a-422aac9ac6ff · outbound

This paper cites Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data

Reference 47

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Pith citing papers

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