Caesar: A Low-deviation Compression Approach for Efficient Federated Learning | Paper Citation Record

Observation fd545326-425e-4469-bce3-0fa9b71523a8 · outbound

This paper cites Billion-scale feder- ated learning on mobile clients: A submodel design with tunable pri- vacy.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Billion-scale feder- ated learning on mobile clients: A submodel design with tunable pri- vacy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.645079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f59316d-465e-4bc6-96b7-536469d8987b · outbound

This paper cites Aut- ofed: Heterogeneity-aware federated multimodal learning for rob ust autonomous driving.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Aut- ofed: Heterogeneity-aware federated multimodal learning for rob ust autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.631015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b04dfb33-7533-40a3-8bd0-425ba804b8d9 · outbound

This paper cites General data protection regulation — Wikipedia, the free encyclopedia, 2024.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning General data protection regulation — Wikipedia, the free encyclopedia, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.616828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb118a55-ba91-4f4a-8cba-fafd3f5724c2 · outbound

This paper cites California consumer privacy act — Wikipedia, the free encyclopedia, 2024.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning California consumer privacy act — Wikipedia, the free encyclopedia, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.601824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 310faefe-15b8-4354-979d-961a43434dc3 · outbound

This paper cites Communication-eﬃcient learning of deep net- works from decentralized data.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Communication-eﬃcient learning of deep net- works from decentralized data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.587372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c533cd64-9e49-490e-ae58-781c8c581b52 · outbound

This paper cites Yoga: Adaptive layer-wise model aggregation for decen- tralized federated learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Yoga: Adaptive layer-wise model aggregation for decen- tralized federated learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.572060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b9ed227-ed79-4fe2-b8a7-949107805b2d · outbound

This paper cites Adaptive block-wise regularization and knowl- edge distillation for enhancing federated learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Adaptive block-wise regularization and knowl- edge distillation for enhancing federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.557687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f40d7671-b6fe-4c7d-ab4b-0ebaa1070a12 · outbound

This paper cites Adaptive asynchronous federated learning in resource-constrained edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Adaptive asynchronous federated learning in resource-constrained edge computing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.543554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f3cd528-2de5-42ea-92f0-9f9425176ec2 · outbound

This paper cites Fedmp: Federated learning through adaptive model pruning in heterogeneous edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Fedmp: Federated learning through adaptive model pruning in heterogeneous edge computing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.528555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbe435f4-4d82-4d7d-b159-870198e90241 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language un- derstanding.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Bert: Pre-training of deep bidirectional transformers for language un- derstanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.513186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cecbd5a7-f673-4406-a5b7-142e94802c06 · outbound

This paper cites Newsweeder: Learning to ﬁlter netnews.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Newsweeder: Learning to ﬁlter netnews

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.498025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0187a911-ca1f-43f0-8409-397c83c16e5e · outbound

This paper cites FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.446862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bee8d2ad-d865-4685-b524-f0bf81f8f3d2 · outbound

This paper cites Eﬃcient federated learning for modern nlp.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Eﬃcient federated learning for modern nlp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.483119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52b1a553-1683-445e-8e1f-6b9fb29e4e51 · outbound

This paper cites Federated learning meets blockchain in edge computing: Oppor- tunities and challenges.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Federated learning meets blockchain in edge computing: Oppor- tunities and challenges

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.467379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6225c973-f857-4261-a06c-79ac4b52ac15 · outbound

This paper cites Advances and open problems in federated learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Advances and open problems in federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.452844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3a58248-8887-4b13-8711-f0d37eabf13d · outbound

This paper cites Heterogeneity-aware federated learning with adaptive client selec- tion and gradient compression.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Heterogeneity-aware federated learning with adaptive client selec- tion and gradient compression

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.438260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c40d160-0b1b-433a-ab0e-0e13b06f5f7a · outbound

This paper cites Accelerating decentralized federated learning in heterogeneous edg e computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Accelerating decentralized federated learning in heterogeneous edg e computing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.423913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5e07571-697c-48ea-a195-64d1e48da94a · outbound

This paper cites Optimizing federated learning on non-iid data with reinforcement learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Optimizing federated learning on non-iid data with reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.408656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 237f1bf9-6d23-4fa8-b951-f5ac442872a3 · outbound

This paper cites Enhancing federated learning with intelligent model migration in heterogeneous edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Enhancing federated learning with intelligent model migration in heterogeneous edge computing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.394238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b46a2e4b-a47b-426d-a897-f912a37e30d5 · outbound

This paper cites Towards federated learning at scale: System design.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Towards federated learning at scale: System design

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.379606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e39675a0-74f7-48e2-b68d-3c6ee321fda1 · outbound

This paper cites Op- timal rate adaption in federated learning with compressed commu- nications.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Op- timal rate adaption in federated learning with compressed commu- nications

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.364740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afd26656-e072-4ded-b62d-e542e1b110ac · outbound

This paper cites Deepreduce: A sparse-tensor communi- cation framework for federated deep learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Deepreduce: A sparse-tensor communi- cation framework for federated deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.349808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b2a4d7c-42b1-4cb2-ba3f-6a06d63e9bc3 · outbound

This paper cites an unresolved cited work.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:45:42.335148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8670b4be-08e1-4ff9-9c44-8b8188f289de · outbound

This paper cites signsgd: Compressed optimisation for non- convex problems.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning signsgd: Compressed optimisation for non- convex problems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.320603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f18e2584-c702-4d07-b507-1540902bca76 · outbound

This paper cites To talk or to work: Flexible communication compression for en- ergy eﬃcient federated learning over heterogeneous mobile edge devices.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning To talk or to work: Flexible communication compression for en- ergy eﬃcient federated learning over heterogeneous mobile edge devices

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.305974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1db302aa-e29c-4b40-a5a5-5a20b0eca164 · outbound

This paper cites Adaptive control of local updating and model compres- sion for eﬃcient federated learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Adaptive control of local updating and model compres- sion for eﬃcient federated learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.291147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9dd190c9-8a57-436c-9f4a-a346ce1bc8ed · outbound

This paper cites Resource- adaptive federated learning with all-in-one neural composition.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Resource- adaptive federated learning with all-in-one neural composition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.276038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07c58ba3-cd85-451e-9366-65d19071b67a · outbound

This paper cites Communication-eﬃcient federated learning for heterogeneous edge devices based on adapt ive gradient quantization.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Communication-eﬃcient federated learning for heterogeneous edge devices based on adapt ive gradient quantization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.259688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eadca8d7-2b32-4c6b-a97d-b6374cf3cdaa · outbound

This paper cites Peaches: Personalized federated learning with neural ar- chitecture search in edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Peaches: Personalized federated learning with neural ar- chitecture search in edge computing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.244001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e700ba7e-d345-4b21-ab47-a9c56aaa67a5 · outbound

This paper cites FedDisco: Federated Learning with Discrepancy-Aware Collaboration.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning FedDisco: Federated Learning with Discrepancy-Aware Collaboration

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:45:41.753950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e67cde5e-3c08-48e6-98b3-84f9036242da · outbound

This paper cites Bose: Block-wise federated learning in hetero- geneous edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Bose: Block-wise federated learning in hetero- geneous edge computing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.228507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67ef57b2-0bd8-4d61-acff-d45eeb1f91e7 · outbound

This paper cites Eﬃcient mini-batch training for stochastic optimization.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Eﬃcient mini-batch training for stochastic optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.213293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb59f31c-9848-469b-92b0-9031f48fb8e3 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.541495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61690f8c-c694-4337-a55e-ba244c336e32 · outbound

This paper cites Bayesian nonparamet- ric federated learning of neural networks.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Bayesian nonparamet- ric federated learning of neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.198458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5321a4b-9e66-4edb-b5fb-68fbf878b70c · outbound

This paper cites Deep residual learning for image recognition.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Deep residual learning for image recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.550860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7229561b-7423-4aa9-a632-e0420fb11e97 · outbound

This paper cites Pyramidﬂ: A ﬁne-grained client selection framework for eﬃcient federated learn- ing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Pyramidﬂ: A ﬁne-grained client selection framework for eﬃcient federated learn- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.173347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72f75ba9-5dc2-4ab0-a4c4-d8c712766b16 · outbound

This paper cites Oort: Eﬃcient federated learning via guided participant selec- tion.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Oort: Eﬃcient federated learning via guided participant selec- tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.158542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 900f83fa-1592-4790-ad60-e5ab01cf50ad · outbound

This paper cites The convergence of sparsi- ﬁed gradient methods.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning The convergence of sparsi- ﬁed gradient methods

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.143768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d57c6ca-2e62-4ad0-9eb8-3667df39026a · outbound

This paper cites Mergesﬂ: Split federated learning with feature merging and batch size regulation.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Mergesﬂ: Split federated learning with feature merging and batch size regulation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.127981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0bd52d9-0413-431c-95d6-b9937dcd8d29 · outbound

This paper cites Approximating the kull- back leibler divergence between gaussian mixture models.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Approximating the kull- back leibler divergence between gaussian mixture models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.113166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65cf4ca3-0f78-44fa-97ad-04608ec8c271 · outbound

This paper cites An eﬃcient image similarity measure based on approximations of kl-divergence between two gaussian mixtures.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning An eﬃcient image similarity measure based on approximations of kl-divergence between two gaussian mixtures

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.098127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10fab5a6-04b4-4d8a-af44-ac73c626671c · outbound

This paper cites Adaptive batch size for federated learning in resource-constrained edge computing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Adaptive batch size for federated learning in resource-constrained edge computing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.083259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dcf43e84-d793-449a-ae0b-239a2d775ec0 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Pytorch: An imperative style, high- performance deep learning library

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.068494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d4e5faa-6fef-4ecf-a405-67a03f6624be · outbound

This paper cites Mnn: A universal and eﬃcient inference engine.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Mnn: A universal and eﬃcient inference engine

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.053404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4500ab8c-a2dc-4f5d-9836-6096eb5d7dee · outbound

This paper cites Building a virtual system of systems using docker swar m in multiple clouds.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Building a virtual system of systems using docker swar m in multiple clouds

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.038292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7eae45a8-a9d3-4320-bb5a-833a08fe3775 · outbound

This paper cites mpi4py: Status update afte r 12 years of development.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning mpi4py: Status update afte r 12 years of development

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.023386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e73aa9d0-38c3-40a5-86ed-b862a0b80f01 · outbound

This paper cites Array programming with numpy.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Array programming with numpy

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:42.008465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51961f7f-411a-42fe-b77d-2beadf4cab50 · outbound

This paper cites Learning multiple layer s of features from tiny images.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Learning multiple layer s of features from tiny images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.993506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c571963-8b89-450b-afd3-bd6059f1ff30 · outbound

This paper cites A public domain dataset for human a c- tivity recognition using smartphones.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning A public domain dataset for human a c- tivity recognition using smartphones

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.978344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fca04295-7c46-489a-9383-ff404561f85d · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.617585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b82c127-be5d-4dfe-af1e-9724d69cabc8 · outbound

This paper cites Bitwidth heterogeneous federated learning with progressive weight dequantization.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Bitwidth heterogeneous federated learning with progressive weight dequantization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.963289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7613dc71-05b3-4200-bbc7-e452af41d0ec · outbound

This paper cites Towards eﬃcient communications in fed- erated learning: A contemporary survey.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Towards eﬃcient communications in fed- erated learning: A contemporary survey

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.948654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2a960a4-5c9b-4ed3-96ce-43f9ca91cd92 · outbound

This paper cites Dadaquant: Doubl y- adaptive quantization for communication-eﬃcient federated learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Dadaquant: Doubl y- adaptive quantization for communication-eﬃcient federated learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.933371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33116ca4-9117-4c85-9df6-f6544490d1ac · outbound

This paper cites Qsgd: Communication-eﬃcient sgd via gradient quantization and encoding.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Qsgd: Communication-eﬃcient sgd via gradient quantization and encoding

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.918708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93d899ce-2e14-4638-9825-fce88ebf3b02 · outbound

This paper cites Robust and communication-eﬃcient federated learning from non-iid data.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Robust and communication-eﬃcient federated learning from non-iid data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.903714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7bccc519-8b16-455e-a1a4-a2b1ad91ce50 · outbound

This paper cites Fjord: Fair and accurate fed- erated learning under heterogeneous targets with ordered dropout.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Fjord: Fair and accurate fed- erated learning under heterogeneous targets with ordered dropout

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.888133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64d0f591-80ac-4b41-9b82-9307f9d6925a · outbound

This paper cites Heteroﬂ: Computation and communication eﬃcient federated learning for heterogeneous clients.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Heteroﬂ: Computation and communication eﬃcient federated learning for heterogeneous clients

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.871302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4237dd76-50ca-4f99-a1a1-c59ebc5922d0 · outbound

This paper cites Svdfed: Enabling communication-eﬃcient federated learning via singular- value-decomposition.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Svdfed: Enabling communication-eﬃcient federated learning via singular- value-decomposition

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.856193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71e8d022-9c3e-4421-aa52-65a9166729e0 · outbound

This paper cites Fedpara: Low- rank hadamard product for communication-eﬃcient federated learn- ing.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Fedpara: Low- rank hadamard product for communication-eﬃcient federated learn- ing

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.840930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c52a4786-f987-42ad-a1b7-1956d5d59d29 · outbound

This paper cites Hermes: an eﬃcient federated learning framework for heterogeneous mobile clients.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Hermes: an eﬃcient federated learning framework for heterogeneous mobile clients

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.826070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 881a61b1-3a1f-4608-aed0-e80107fe275f · outbound

This paper cites When edge meets learning: Adaptive control for resource-constrained distributed ma- chine learning.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning When edge meets learning: Adaptive control for resource-constrained distributed ma- chine learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.811245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0828192-251a-421a-b913-9e2e82d6ee61 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Tackling the objective inconsistency problem in heterogeneous federated optimization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.673482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe07a42d-bfc7-4ae0-b811-13cdb5ec4a60 · outbound

This paper cites Tackling system and statistical heterogeneity for feder ated learning with adaptive client sampling.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning Tackling system and statistical heterogeneity for feder ated learning with adaptive client sampling

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:41.785815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers