A Robust Federated Learning Framework for Undependable Devices at Scale | Paper Citation Record

Observation 311ff130-a810-46d9-8f99-e8104c7c7f3f · outbound

This paper cites Deep learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Deep learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.027313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0730a1a7-2219-4bbe-af1f-a48144d1ea56 · outbound

This paper cites Natu- ral language processing: state of the art, current trends and challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Natu- ral language processing: state of the art, current trends and challenges

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.426129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b02e21b-c24d-41db-9938-1f8077cf7946 · outbound

This paper cites Dif- ferentially private image classification by learning priors from random processes.

A Robust Federated Learning Framework for Undependable Devices at Scale Dif- ferentially private image classification by learning priors from random processes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.412678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8513ce7-ddbf-4410-95ab-6aee62794b40 · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated learning for generalization, robustness, fairness: A survey and benchmark

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.399548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aaef6138-aec6-406e-a9d9-c0462ce76479 · outbound

This paper cites Vertical federated learning: Concepts, advances, and challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Vertical federated learning: Concepts, advances, and challenges

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.385765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a07f3bc-c383-4f2a-9dac-97e2cc6f85b3 · outbound

This paper cites Billion-scale federated learning on mobile clients: A submodel design with tunable privacy.

A Robust Federated Learning Framework for Undependable Devices at Scale Billion-scale federated learning on mobile clients: A submodel design with tunable privacy

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.372060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae02e41d-1acb-4e3a-9a24-77f5029c8055 · outbound

This paper cites Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.355958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c5fa47ab-2f10-4bb5-8b9d-bea9777925b0 · outbound

This paper cites Federated learning for smart healthcare: A survey.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated learning for smart healthcare: A survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.068077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64882276-50d0-473d-918d-2042c4529d4a · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Towards federated learning at scale: System design

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.331444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68aaa86a-abc4-435b-be70-feb9ef8751f0 · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Communication-efficient learning of deep networks from decentralized data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.077348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7bfead-c772-4c36-9428-72e55cdef956 · outbound

This paper cites Safa: A semi-asynchronous protocol for fast federated learning with low overhead.IEEE Transactions on Computers, 70(5):655– 668, 2020.

A Robust Federated Learning Framework for Undependable Devices at Scale Safa: A semi-asynchronous protocol for fast federated learning with low overhead.IEEE Transactions on Computers, 70(5):655– 668, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.309624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b37006e-5adc-4872-a600-5784c2370d94 · outbound

This paper cites Oort: Efficient federated learning via guided participant selection.

A Robust Federated Learning Framework for Undependable Devices at Scale Oort: Efficient federated learning via guided participant selection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.296039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac82b6a9-0c5e-43eb-89ee-8949c817587d · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Hermes: an efficient federated learning framework for heterogeneous mobile clients

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.282498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8db12d95-8130-41c5-bd72-c14f51849dbc · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Pyramidfl: A fine-grained client selection framework for efficient federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.269498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 441b75e4-b3b5-4918-a5c0-b46ebfce64e1 · outbound

This paper cites Fedsea: A semi-asynchronous federated learning framework for extremely heterogeneous devices.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedsea: A semi-asynchronous federated learning framework for extremely heterogeneous devices

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.255543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fbe50cd-5ca1-477a-9b9c-6c0a76742bed · outbound

This paper cites AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation.

A Robust Federated Learning Framework for Undependable Devices at Scale AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.107718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f784a6b-e266-4d65-8a60-8101a94f8f7b · outbound

This paper cites Bose: Block-wise federated learning in het- erogeneous edge computing.

A Robust Federated Learning Framework for Undependable Devices at Scale Bose: Block-wise federated learning in het- erogeneous edge computing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.241057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12398e1c-d7ba-4cbd-bd2d-b101c07d63cc · outbound

This paper cites Efficient federated learning for modern nlp.

A Robust Federated Learning Framework for Undependable Devices at Scale Efficient federated learning for modern nlp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.227223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96a656e7-823c-4156-a81e-5a218e1910cc · outbound

This paper cites Federated few-shot learning for mobile nlp.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated few-shot learning for mobile nlp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.213420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b896f1c1-c98a-4ce1-b097-e27961baa2b6 · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Aut- ofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.198718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 776dc1ca-c49b-4973-aa92-f458ca6b012f · outbound

This paper cites In 2024 USENIX Annual Technical Conference (USENIX ATC 24), pages 579–596, 2024.

A Robust Federated Learning Framework for Undependable Devices at Scale In 2024 USENIX Annual Technical Conference (USENIX ATC 24), pages 579–596, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.183422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3233229-5723-466a-8a89-23778a1cd776 · outbound

This paper cites Federated Learning with Non-IID Data.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated Learning with Non-IID Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.141262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060c5746-9b55-4e57-8598-e08c179c3d03 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

A Robust Federated Learning Framework for Undependable Devices at Scale Imagenet classification with deep convolutional neural networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.147108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2318e24-068e-4183-8f3b-d89d480a2e9b · outbound

This paper cites Learning multiple layers of features from tiny images.

A Robust Federated Learning Framework for Undependable Devices at Scale Learning multiple layers of features from tiny images

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.153161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905b13d5-d0d5-49ca-ae16-387f90e6126d · outbound

This paper cites Multitude of beta distributions with applications.

A Robust Federated Learning Framework for Undependable Devices at Scale Multitude of beta distributions with applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.150484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c9c07da-a5b2-4344-af4e-4e10625e44cb · outbound

This paper cites Bayesian theory, volume 405.

A Robust Federated Learning Framework for Undependable Devices at Scale Bayesian theory, volume 405

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.164629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06cb872d-0312-49a5-bd86-48cb0c46ac98 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem.

A Robust Federated Learning Framework for Undependable Devices at Scale Finite-time analysis of the multiarmed bandit problem

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.171620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5273c8-6a3a-443b-bc7d-214ca62dcfba · outbound

This paper cites Towards efficient and stable k-asynchronous federated learning with unbounded stale gradients on non-iid data.

A Robust Federated Learning Framework for Undependable Devices at Scale Towards efficient and stable k-asynchronous federated learning with unbounded stale gradients on non-iid data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.116121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e869283-5032-4421-8cdb-e29681cb13b1 · outbound

This paper cites Fleet: Online federated learning via staleness awareness and performance prediction.

A Robust Federated Learning Framework for Undependable Devices at Scale Fleet: Online federated learning via staleness awareness and performance prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.102254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17935819-2796-428a-9db0-f68ee7da8d0a · outbound

This paper cites Fedpa: An adaptively partial model aggregation strategy in federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedpa: An adaptively partial model aggregation strategy in federated learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.088939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95a14bd7-a2c1-4c0d-aa08-db9f8dfb747a · outbound

This paper cites Robust asynchronous federated learning with time-weighted and stale model aggregation.

A Robust Federated Learning Framework for Undependable Devices at Scale Robust asynchronous federated learning with time-weighted and stale model aggregation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.075312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96deab17-0b2c-45bf-962d-f3f06320725a · outbound

This paper cites Hiflash: Communication-efficient hi- erarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association.

A Robust Federated Learning Framework for Undependable Devices at Scale Hiflash: Communication-efficient hi- erarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.061808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1cda87f-6d11-4bd6-b872-6201554f1176 · outbound

This paper cites https://www.oppo.com/en/smartphones/.

A Robust Federated Learning Framework for Undependable Devices at Scale https://www.oppo.com/en/smartphones/

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.047838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d8477ee-d97a-4b46-8ad8-e90d51e4614a · outbound

This paper cites https://github.com/alibaba/MNN?tab=readme-ov-file.

A Robust Federated Learning Framework for Undependable Devices at Scale https://github.com/alibaba/MNN?tab=readme-ov-file

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.033170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fee3bcbc-21da-444c-be4f-2b7399e17403 · outbound

This paper cites https://docs.nvidia.com/jetson/.

A Robust Federated Learning Framework for Undependable Devices at Scale https://docs.nvidia.com/jetson/

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:19.017925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de414f07-e8fc-438b-80f5-74fd5495daa1 · outbound

This paper cites Docker: lightweight linux containers for consistent development and deployment.

A Robust Federated Learning Framework for Undependable Devices at Scale Docker: lightweight linux containers for consistent development and deployment

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.995634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b288033c-8ee0-446b-811d-cb5f53ee16c6 · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Pytorch: An imperative style, high-performance deep learning library

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.978771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6d82fa8-7939-4bf5-94fc-e027510c3286 · outbound

This paper cites http://dast.nlanr.net/ Projects/Iperf/.

A Robust Federated Learning Framework for Undependable Devices at Scale http://dast.nlanr.net/ Projects/Iperf/

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.962633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8510cf30-15c9-4e77-981f-01313f597f9d · outbound

This paper cites Deep convolutional neural net- works for image classification: A comprehensive review.

A Robust Federated Learning Framework for Undependable Devices at Scale Deep convolutional neural net- works for image classification: A comprehensive review

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.947673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4db4cbe-2e88-4cf1-8530-e532eefc715b · outbound

This paper cites https://github.com/ymliao98/PS_socket/blob/main/models.py.

A Robust Federated Learning Framework for Undependable Devices at Scale https://github.com/ymliao98/PS_socket/blob/main/models.py

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.925790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95daaf77-8729-49b6-b2aa-51db5051f369 · outbound

This paper cites Deep residual learning for image recognition.

A Robust Federated Learning Framework for Undependable Devices at Scale Deep residual learning for image recognition

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.255173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fefb785-e074-4657-9356-932f5a11a0ff · outbound

This paper cites Biosignal sensors and deep learning-based speech recognition: A review.

A Robust Federated Learning Framework for Undependable Devices at Scale Biosignal sensors and deep learning-based speech recognition: A review

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.900563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fbc40d1-f093-4bcb-aa94-cb72755efa2b · outbound

This paper cites https://pytorch.

A Robust Federated Learning Framework for Undependable Devices at Scale https://pytorch

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.885336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 933955a6-eda6-461c-b6f2-fe3ed75ca3db · outbound

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

A Robust Federated Learning Framework for Undependable Devices at Scale Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.272870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb7fd0c-fc15-4fbf-945b-4c5235845da2 · outbound

This paper cites On-Device Recommender Systems: A Comprehensive Survey.

A Robust Federated Learning Framework for Undependable Devices at Scale On-Device Recommender Systems: A Comprehensive Survey

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.279055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1ab94a-4956-4e28-9896-d12886c91cba · outbound

This paper cites Wide & deep learning for recommender systems.

A Robust Federated Learning Framework for Undependable Devices at Scale Wide & deep learning for recommender systems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.285642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc138079-1b71-4ffd-bedf-e0d64606a38d · outbound

This paper cites https://www.kaggle.com/c/avazu-ctr-prediction/ data.

A Robust Federated Learning Framework for Undependable Devices at Scale https://www.kaggle.com/c/avazu-ctr-prediction/ data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.861564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4493bee5-8049-4606-8e7e-43458a507e4d · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.847014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80792de5-67e4-4504-bc7a-d68fa99f48a7 · outbound

This paper cites Fedlab: A flexible federated learning framework.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedlab: A flexible federated learning framework

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.831642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4aa9cd4-0f04-4235-98c3-2eda981fad21 · outbound

This paper cites Federated learning for internet of things: Recent advances, taxonomy, and open challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated learning for internet of things: Recent advances, taxonomy, and open challenges

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.816486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8613ac0-3d0d-43ac-84a0-ccffbf29be65 · outbound

This paper cites Federated Learning: Opportunities and Challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated Learning: Opportunities and Challenges

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.312857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64fbcea-c5aa-4e21-8a7b-08fc6cf2f7c5 · outbound

This paper cites Federated optimization in heterogeneous networks.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated optimization in heterogeneous networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.317639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3000714c-b2e1-48ba-998b-28a7d8e52a5d · outbound

This paper cites Adaptive federated optimization.

A Robust Federated Learning Framework for Undependable Devices at Scale Adaptive federated optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.792914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a96e38d7-5d21-4bd5-9c2e-e2d6b1f77891 · outbound

This paper cites Fedur: Federated learning optimization through adaptive centralized learning optimizers.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedur: Federated learning optimization through adaptive centralized learning optimizers

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.777924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d53eddea-fe2e-427b-8983-5eb5509284f4 · outbound

This paper cites Fedala: Adaptive local aggregation for person- alized federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedala: Adaptive local aggregation for person- alized federated learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.763943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22b4416a-0b0b-403f-a7fa-c5a1fdedc209 · outbound

This paper cites Towards personalized federated learning via heterogeneous model reassembly.

A Robust Federated Learning Framework for Undependable Devices at Scale Towards personalized federated learning via heterogeneous model reassembly

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.335160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4ea047-0f9c-4e58-a8bc-fa64a8c921f3 · outbound

This paper cites Flow: per-instance personalized federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Flow: per-instance personalized federated learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.740685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e2bb511-3c63-4240-8b9e-aeddc5c67e7c · outbound

This paper cites Fedas: Bridging inconsis- tency in personalized federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedas: Bridging inconsis- tency in personalized federated learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.727175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0586f9c2-f22a-4b27-8dd6-c1a071787a65 · outbound

This paper cites Communication Efficiency in Federated Learning: Achievements and Challenges.

A Robust Federated Learning Framework for Undependable Devices at Scale Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.348131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bd651a4-6dc5-4965-8d58-322b33f72b5b · outbound

This paper cites Uveqfed: Universal vector quantization for federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Uveqfed: Universal vector quantization for federated learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.712736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e21fe0f-911e-4c03-84b0-a14281684dbe · outbound

This paper cites Adaptive quantization of model updates for communication- efficient federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Adaptive quantization of model updates for communication- efficient federated learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.698749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 964420aa-40d6-4230-9d7d-a106c45f775a · outbound

This paper cites Towards mitigating device heterogeneity in federated learning via adaptive model quantization.

A Robust Federated Learning Framework for Undependable Devices at Scale Towards mitigating device heterogeneity in federated learning via adaptive model quantization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.684661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d572a2d2-a613-40a2-bd49-af3b9d8ff8f5 · outbound

This paper cites Neural network quantization in federated learn- ing at the edge.

A Robust Federated Learning Framework for Undependable Devices at Scale Neural network quantization in federated learn- ing at the edge

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.671735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d3f97e0-38c5-42b7-9fd6-12eb932acddc · outbound

This paper cites Federated Learning With Quantized Global Model Updates.

A Robust Federated Learning Framework for Undependable Devices at Scale Federated Learning With Quantized Global Model Updates

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.372942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e1ae57-4957-422a-a0a1-ceff8f318976 · outbound

This paper cites Model compression for communication efficient federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Model compression for communication efficient federated learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.657710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51785202-a669-4204-b975-24203f34212f · outbound

This paper cites FEDZIP: A Compression Framework for Communication-Efficient Federated Learning.

A Robust Federated Learning Framework for Undependable Devices at Scale FEDZIP: A Compression Framework for Communication-Efficient Federated Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.382400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bd0ddbe-9573-40d8-bc07-29e8097d20ce · outbound

This paper cites an unresolved cited work.

A Robust Federated Learning Framework for Undependable Devices at Scale Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:45:18.644756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c63ba58-4a1d-442f-9e83-2da6d765a755 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

A Robust Federated Learning Framework for Undependable Devices at Scale FedMD: Heterogenous Federated Learning via Model Distillation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.391443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e92361-d43f-46c8-86af-35d11d23e076 · outbound

This paper cites Data-free knowledge distillation for heterogeneous federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Data-free knowledge distillation for heterogeneous federated learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.629266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99050970-9bd1-4457-b3ba-fd749ceb387a · outbound

This paper cites Communication-efficient federated learning via knowledge distil- lation.

A Robust Federated Learning Framework for Undependable Devices at Scale Communication-efficient federated learning via knowledge distil- lation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:18.401061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ed01ad-2324-409e-94a6-a90c825931d1 · outbound

This paper cites Fedfed: Feature distillation against data heterogeneity in federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Fedfed: Feature distillation against data heterogeneity in federated learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.608531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 424f6b5a-f821-4b79-b62c-1dbbc30aa320 · outbound

This paper cites Dfrd: Data-free robustness distillation for heterogeneous federated learning.

A Robust Federated Learning Framework for Undependable Devices at Scale Dfrd: Data-free robustness distillation for heterogeneous federated learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:45:18.594050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers