FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs | Paper Citation Record

Observation 87651a4f-177f-4a74-852a-3373a055086e · outbound

This paper cites an unresolved cited work.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Unresolved cited work

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This paper cites These methods enable wireless controllers to adapt to time-varying channels and trafﬁc without repeatedly solving nonconvex optimization proble ms online.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs These methods enable wireless controllers to adapt to time-varying channels and trafﬁc without repeatedly solving nonconvex optimization proble ms online

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This paper cites However, collecting channel, queue, interference, schedu ling, and beamforming information from multiple BSs creates substantial signaling and scalability requirements [21].

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs However, collecting channel, queue, interference, schedu ling, and beamforming information from multiple BSs creates substantial signaling and scalability requirements [21]

Reference 3

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Unresolved cited work

Reference 4

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Observation 7e195149-1136-426a-9175-8d828f3d6c75 · outbound

This paper cites Our ea rlier FedCritic framework introduced serverless critic collabo ration for scheduling and power control in multi-cell OFDMA networks [34].

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Our ea rlier FedCritic framework introduced serverless critic collabo ration for scheduling and power control in multi-cell OFDMA networks [34]

Reference 5

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Unresolved cited work

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Observation ed09babd-599a-4e63-89d6-c036adda5660 · outbound

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Unresolved cited work

Reference 7

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Observation 08fb1ba7-5fa5-4d95-bcd4-a625cdf970fb · outbound

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Unresolved cited work

Reference 8

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Observation bccc843a-3c18-4504-9e88-fcf4211cf849 · outbound

This paper cites (65) Proof: See Appendix B.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs (65) Proof: See Appendix B

Reference 9

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Observation fa6df8e8-050a-4122-8cc0-75c47da0241b · outbound

This paper cites (A1) The matrices Wt are symmetric and doubly stochastic, and satisfy the following uniform mixing condition: there exists λW ∈ [0,1) such that‖ ‖ ‖ ‖Wt − 1 N 11T ‖ ‖ ‖ ‖ 2 ≤λW, ∀t.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs (A1) The matrices Wt are symmetric and doubly stochastic, and satisfy the following uniform mixing condition: there exists λW ∈ [0,1) such that‖ ‖ ‖ ‖Wt − 1 N 11T ‖ ‖ ‖ ‖ 2 ≤λW, ∀t

Reference 10

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This paper cites APPENDIX B PROOF OF LEMMA 2 Proof: Because Wt is doubly stochastic, (IN − (Wt)T )1 = 0.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs APPENDIX B PROOF OF LEMMA 2 Proof: Because Wt is doubly stochastic, (IN − (Wt)T )1 = 0

Reference 11

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This paper cites For ﬁxed ηc, taking the limit superior in (74) and using limsupT →∞T −1∑ t<Tε2 t ≤ ¯ε2 gives the stated stationarity neighborhood.REFERENCES.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs For ﬁxed ηc, taking the limit superior in (74) and using limsupT →∞T −1∑ t<Tε2 t ≤ ¯ε2 gives the stated stationarity neighborhood.REFERENCES

Reference 12

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This paper cites 6G cellular networks: Mapping the landscape for the IMT-2030 framework,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs 6G cellular networks: Mapping the landscape for the IMT-2030 framework,

Reference 13

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Observation 52cfd821-876b-4bf1-aa4b-6e50e591278d · outbound

This paper cites Operator’s perspective on 6G: 6G services, vision, and spectrum,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Operator’s perspective on 6G: 6G services, vision, and spectrum,

Reference 14

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Observation 6f47e8ec-e618-4137-a092-299b990f38ed · outbound

This paper cites Open RAN for 6G networks: Architecture, use cases and open issues,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Open RAN for 6G networks: Architecture, use cases and open issues,

Reference 15

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Observation 2efabe24-d40e-430c-a436-56d72f3c8891 · outbound

This paper cites Empowering the 6G cellular architecture with open RAN,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Empowering the 6G cellular architecture with open RAN,

Reference 16

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This paper cites Time synchronous OFDMA for dense wireless access in open-RAN,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Time synchronous OFDMA for dense wireless access in open-RAN,

Reference 17

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This paper cites Toward standardization of 6G and NextG: Key technologies to enable fundamental enhancements,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Toward standardization of 6G and NextG: Key technologies to enable fundamental enhancements,

Reference 18

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Observation 89a5a70e-15a8-429a-a12a-0967e985acbc · outbound

This paper cites Massive MIMO over correlated fading channels: Multi-cell MMSE processing, pilot assignment an d power control,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Massive MIMO over correlated fading channels: Multi-cell MMSE processing, pilot assignment an d power control,

Reference 19

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Observation 74164db0-0daf-4a74-a450-9bff1e9d2b6a · outbound

This paper cites Interference burden in wireless communica- tions: A comprehensive survey from PHY layer perspective,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Interference burden in wireless communica- tions: A comprehensive survey from PHY layer perspective,

Reference 20

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Observation febfb123-7cde-4773-b8ad-f2c36a8a5b76 · outbound

This paper cites Applications of multi-agent reinforcement learning in future internet: A comprehensive survey,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Applications of multi-agent reinforcement learning in future internet: A comprehensive survey,

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This paper cites Emergent communication in multi-agent reinforcement learning for future wireless networks,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Emergent communication in multi-agent reinforcement learning for future wireless networks,

Reference 22

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This paper cites A collaborative m ulti-agent deep reinforcement learning-based wireless power allocation w ith centralized training and decentralized execution,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs A collaborative m ulti-agent deep reinforcement learning-based wireless power allocation w ith centralized training and decentralized execution,

Reference 23

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This paper cites Joint scheduling, O-RU association, and power allocation in O-RAN via model-based optimization and PPO-based reinforcement learning,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Joint scheduling, O-RU association, and power allocation in O-RAN via model-based optimization and PPO-based reinforcement learning,

Reference 24

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This paper cites Federated dee p reinforcement learning for resource allocation in O-RAN sl icing,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Federated dee p reinforcement learning for resource allocation in O-RAN sl icing,

Reference 25

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,

Reference 26

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Resource management in wireless networks via multi-agent deep reinforcement learning,

Reference 27

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This paper cites Decentralized and joint resource allocation, beamforming, and beamcombining for 5G networks with hetero geneous MARL,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Decentralized and joint resource allocation, beamforming, and beamcombining for 5G networks with hetero geneous MARL,

Reference 28

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This paper cites Proportional fair resource scheduling for dynamic beyond 5G networks: A distributed hierarchical DRL approac h,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Proportional fair resource scheduling for dynamic beyond 5G networks: A distributed hierarchical DRL approac h,

Reference 29

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This paper cites Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems

Reference 30

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This paper cites An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

Reference 31

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

Reference 32

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This paper cites An ofﬂine multi-agent reinforc ement learning framework for radio resource management,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs An ofﬂine multi-agent reinforc ement learning framework for radio resource management,

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Fully decentralized multi-agent reinforcement learnin g with networked agents,

Reference 34

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Sample and communication-efﬁcient decentralized actor–critic algorithms with ﬁnite-time analysis,

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Fully decentralized coopera tive multi-agent reinforcement learning: a survey,

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This paper cites Learn-to-share: A decentralized multi-agent spectrum sharing framework for heterogeneous networks in the 6G era,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Learn-to-share: A decentralized multi-agent spectrum sharing framework for heterogeneous networks in the 6G era,

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Communication-efﬁcient learning of deep networks from decentralized data,

Reference 38

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FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Federated optimization in heterogeneous networks,

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This paper cites Federated reinforcement learning for energy- efﬁcient D2D-IoT networks with AoI awareness,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Federated reinforcement learning for energy- efﬁcient D2D-IoT networks with AoI awareness,

Reference 40

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Observation a397ed1f-5e20-464b-9698-26d8a8363989 · outbound

This paper cites Meta federated reinforcement learning for distributed resource allocation,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Meta federated reinforcement learning for distributed resource allocation,

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This paper cites Communication-efﬁcient soft actor–critic policy collaboration via regulated segment mixture,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Communication-efﬁcient soft actor–critic policy collaboration via regulated segment mixture,

Reference 42

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Observation 3b0638fd-a759-4290-a873-97a1d3eb2ded · outbound

This paper cites Pareto actor–critic for communication and computation co-optimization in non-cooperative federated learning se rvices,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Pareto actor–critic for communication and computation co-optimization in non-cooperative federated learning se rvices,

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Observation 0d2e963c-ff78-4288-aea2-4164972ee70d · outbound

This paper cites Decentralized stochastic optimization and gossip algorithms with compressed commun ication,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Decentralized stochastic optimization and gossip algorithms with compressed commun ication,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:52:01.025126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6dbf8b3a-ac3c-4cd8-9980-6a87ca23c271 · outbound

This paper cites Error feedback ﬁxes SignSGD and other gradient compression schemes,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Error feedback ﬁxes SignSGD and other gradient compression schemes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:52:01.014268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aed60213-75da-4d0c-a926-16ae495073de · outbound

This paper cites FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:52:00.940742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17110813-be6f-47e8-9a75-57e4f18c30b3 · outbound

This paper cites Partitioned edge learning over fast fading channels,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Partitioned edge learning over fast fading channels,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:52:01.003110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f5c7292-7893-43c9-aceb-92ea2912365e · outbound

This paper cites Asymptotic analysis of federated learning under event- triggered communication,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Asymptotic analysis of federated learning under event- triggered communication,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:52:00.992499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cdf2874f-d27c-4256-9fbe-c9538d5f9ff6 · outbound

This paper cites Robust federated learning for unreliable and resource- limited wireless networks,.

FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs Robust federated learning for unreliable and resource- limited wireless networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:52:00.981777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers